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• SA Branch Meeting - Prof Omer Ozturk

  • When
    19 Feb 2020
  •  
    5:30 PM - 7:00 PM (UTC+10:30)
  • Location
    Engineering & Math EM212, North Terrace, The University of Adelaide

  Branch Meeting - Wednesday, 19th February 2020

  The South Australian Branch of the Statistical Society would like to invite you to the February meeting of the 2020 program.

  Venue: Engineering and Math Science Building, Room EM212, North Terrace, The University of Adelaide. A campus map is available at http://www.adelaide.edu.au/campuses/northtce/. 

  ***Please note that most entrance doors to Adelaide University buildings close at 6pm so make sure you arrive in time for the talk.

  Time:

  5:30pm - Refreshments in the Lecture Theatre

  6:05pm - General Meeting Talk

  7:30pm - A dinner will be held after the meeting at Jasmin Restaurant, 31 Hindmarsh Square, Adelaide SA 5000. Please RSVP for dinner to aarti.gulyani@sahmri.com by 17th February as we are usually unable to change the booking numbers at the last minute.

  Speaker: Professor Omer Ozturk, The Ohio State University
  

  Topic: Probability-proportional-to-size ranked-set sampling from stratified populations
  

  Abstract

  This paper constructs a probability proportional-to-size (PPS) ranked-set sample from a stratified population. A PPS-ranked-set sample created stochastically ordered random variables in a sample using a PPS sampling design with selection probabilities approximately proportional to size of the units. The stochastic order relies on relative positions (ranks) of units among each other in small comparison sets. Hence, the ranks induce more structure (stratification) in the sample in addition to the data structure created by unequal selection probabilities in a PPS sample. This added data structure makes the PPS-ranked set sample more informative than a PPS-sample.

  The stratified PPS-ranked-set sample is constructed by selecting a PPS-ranked-set sample from each stratum population. The paper constructs unbiased estimators for the population mean, total and their variances. The new sampling design is applied to an apple production data to estimate the total apple production.
  

  Biography

  Professor Ozturk joined the statistics faculty in 1996. He currently serves as an associate editor for Environmental and Ecological Statistics, Statistics and Probability Letters, Communications in Statistics- Data Analysis and Simulation, and Communications in Statistics- Theory and Methods. His research interest lies in developing inference under a set of relaxed distributional assumptions that may include parametric, nonparametric and robust inference under different sampling conditions. The primary focus is on the construction of sampling designs that increases information content of each measured observation while keeping the sampling cost minimal. His research was funded by NSA and NSF. He was frequently invited to US Census Bureau as a Summer at Census Scholar. He served as publication officer in the section of nonparametric statistics in ASA. He was Elected fellow of ASA in 2010.
  

  Feel free to forward this meeting notice to colleagues, all welcome.

  
  

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• Webinar: Statistical Machine Learning for Spatio-Temporal Forecasting

  • When
    21 Feb 2020
  •  
    1:00 PM - 2:00 PM
  • Location
    via Zoom - time stated is AEDT

  Register

  The Statistical Society of Australia is pleased to announce the following webinar:

  Statistical Machine Learning for Spatio-Temporal Forecasting

  About this webinar

  Conventional spatio-temporal statistical models are well-suited for modelling and forecasting using data collected over short time horizons. However, they are generally time-consuming to fit, and often do not realistically encapsulate temporally-varying dynamics. Here, we tackle these two issues by using a deep convolution neural network (CNN) in a hierarchical statistical framework, where the CNN is designed to extract process dynamics from the process' most recent behaviour. Once the CNN is fitted, probabilistic forecasting can be done extremely quickly online using an ensemble Kalman filter with no requirement for repeated parameter estimation. We conduct an experiment where we train the model using 13 years of daily sea-surface temperature data in the North Atlantic Ocean. Forecasts are seen to be accurate and calibrated. A key advantage of the approach is that the CNN provides a global prior model for the dynamics that is realistic, interpretable, and computationally efficient to forecast with. We show the versatility of the approach by successfully producing 10-minute nowcasts of weather radar reflectivities in Sydney using the same model that was trained on daily sea-surface temperature data in the North Atlantic Ocean. This is joint work with Christopher Wikle, University of Missouri.
  

  About the presenter

  Andrew Zammit-Mangion is an Australian Research Council (ARC) Discovery Early Career Research Award (DECRA) Senior Research Fellow with the School of Mathematics and Applied Statistics at the University of Wollongong, Australia. His key interests lie in spatio-temporal models and the inferential tools that enable them. He was awarded a Best Doctoral Dissertation Prize by the Institute of Engineers and Technology (IET) in 2012, and the Cozzarelli Prize (Best PNAS paper in Engineering and Applied Sciences) by the National Academy of Sciences of the US on the topic in 2013. He is currently a member of NASA's Orbiting Carbon Observatory-2 (OCO-2), and in 2019 he published a co-authored book with Christopher Wikle and Noel Cressie on spatio-temporal modelling with R.

  To register
  

  This event is for members of SSA only. It is free, but you will need to register. After registering, you will receive a confirmation email containing information about joining the meeting. 

  If you have any questions, please contact Marie-Louise Rankin. 

  Would you please note that the times stated are AEDT.

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• Bayesian Adaptive Randomised Clinical Trials Workshop

  • Start
    27 Feb 2020
  • End
    28 Feb 2020
  • Location
    Melbourne, Australia

  A workshop on Bayesian adaptive randomised trials, delivered by international leaders in this field; Dr Lorenzo Trippa and Dr Steffen Ventz.

  Adaptive clinical trial designs have proven valuable to accelerate the development of new treatments. Adaptive randomisation based on Bayesian principles has been proposed for testing several treatments in complex clinical trials on heterogeneous populations.

  Recent applications suggest that outcome adaptive approaches can accelerate drug development processes. Adaptive algorithms attempt to learn and identify, during the trial, the best available treatment options for individual patients enrolled in the trial.

  For more information, please click here.

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• Bayesian Adaptive Randomised Clinical Trials Workshop

  • Start
    5 Mar 2020
  • End
    6 Mar 2020
  • Location
    Sydney

  A workshop on Bayesian adaptive randomised trials, delivered by international leaders in this field; Dr Lorenzo Trippa and Dr Steffen Ventz.

  Adaptive clinical trial designs have proven valuable to accelerate the development of new treatments. Adaptive randomisation based on Bayesian principles has been proposed for testing several treatments in complex clinical trials on heterogeneous populations.

  Recent applications suggest that outcome adaptive approaches can accelerate drug development processes. Adaptive algorithms attempt to learn and identify, during the trial, the best available treatment options for individual patients enrolled in the trial.

  For more information please click here.

  
  

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• WA Branch AGM and Meeting - Mark S. Handcock

  • When
    10 Mar 2020
  •  
    5:15 PM - 7:00 PM (UTC+08:00)
  • Location
    Perth

  Announcing the Annual General Meeting of the Statistical Society of Australia, W.A. Branch.

  5:15 ᴘᴍ on Tuesday 10^th March 2020

  BLAKERS LECTURE THEATRE
  SCHOOL OF MATHEMATICS AND STATISTICS
  UNIVERSITY OF WESTERN AUSTRALIA

  Followed by a seminar at 6:00 ᴘᴍ

  
  Statistical Methods to Survey Hidden Networked Populations

  Dr. Mark S. Handcock

  Professor of Statistics
  University of California - Los Angeles
  
  

  ABSTRACT:

  In many situations, standard survey sampling strategies fail because the target populations cannot be accessed through well-defined sampling frames. Typically, a sampling frame for the target population is not available, and its members are rare or stigmatized in the larger population so that it is prohibitively expensive to contact them through the available frames. We discuss statistical issues in studying hard-to-reach or otherwise "hidden" populations. These populations are characterized by the difficulty in survey sampling from them using standard probability methods. Examples in a demographic setting include unregulated workers and migrants. Examples of such populations in a behavioural and social setting include injection drug users, men who have sex with men, and female sex workers. Hard-to-reach populations are under-served by current sampling methodologies mainly due to the lack of practical alternatives to address these methodological difficulties. We will focus on populations where some form of social network information can be used to assist the data collection. In such situations sophisticated statistical methods are needed to allow the characteristics of the population to be inferred from the collected data.

  We review adaptive network sampling, including respondent-driven sampling. We develop model-assisted methods and capture-recapture ideas.

  This is joint work with Krista J. Gile, Katherine R. McLaughlin and Brian Kim.

  ABOUT THE SPEAKER:

  Dr. Mark S. Handcock is Professor of Statistics at the University of California - Los Angeles. His research involves methodological development, and is based largely on motivation from questions in the social and epidemiological sciences. He has published extensively on models for social networks, network inference, and network sampling methods. For details, see his web page http://www.stat.ucla.edu/~handcock/

  Members and guests are invited to enjoy wine and cheese from 5:15 ᴘᴍ. The Annual General Meeting (AGM) will be held during this time in the Blakers Lecture Theatre. Non-members of the SSA WA branch may be present but cannot vote on AGM matters. The AGM agenda will be provided to the SSA WA Branch email list.

  Following the meeting you are invited to dine with the speaker at a nearby restaurant. Visitors are welcome.

  The Blakers Lecture Theatre is located on the ground floor of the Mathematics building at UWA. The entrance is on the outside of the building. Map links: Google Maps, Open Street Maps (Mathematics building).

  Parking is free on the UWA campus after 5pm. We suggest using car park 18 from Fairway entry 1.

  For further information please contact the Branch Secretary, Rick Tankard, Murdoch University.
  He can be reached by email at rick.tankard@murdoch.edu.au or by phone at (08) 9360 2820.

  
  

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• Vic Branch – Measuring Well-being (+ AGM)

  • When
    31 Mar 2020
  •  
    5:45 PM - 7:45 PM
  • Location
    JH Michell Theatre, Peter Hall Building, University of Melbourne

  The Victorian Branch of the Statistical Society of Australia is having its Annual General Meeting (AGM), followed by a talk from Mr Dennis Trewin AO FASSA.
  

  Timetable for the evening

  • 5:45pm – SSA Vic AGM, Staff Tea Room, Peter Hall Building, University of Melbourne
    
  • 6:30pm – Talk, JH Michell Theatre, Peter Hall Building, University of Melbourne
    
  • 7:45pm – Dinner, University Cafe, Carlton

  The AGM is open to all members of the Victorian Branch. The talk is open to the public. The dinner is also open to all and will be pay your own way.

  
  

  Measuring Well-being

  Historically GDP has generally been used as a measure of national well-being although it was never designed for this purpose. The Australian Bureau of Statistics was the first national statistical office to publish an alternative approach with its Measures of Australia’s Progress (MAP) publication first released in 2002. This attracted global interest and an invitation for Dennis to be a keynote speaker at OECD’s first World Forum entitled Statistics, Knowledge and Policy. Discussions at the Forum led the OECD to begin its Beyond GDP initiative which has, in turn, inspired a number of countries and jurisdictions within countries to look at alternative ways of measuring progress on well-being with some going as far as incorporating measures within their budgetary process (e.g. New Zealand) and their performance being judged on well-being as well as economic measures. For example, the ACT Chief Minister has recently announced that it will be developing a set of well-being indicators to enable an assessment of Government performance with the Chief Minister releasing the proposed indicators on Canberra Day in March 2020.

  Dennis' talk will describe the main methods for measuring well-being (composite index of well-being indicators, suite of indicators as was used for MAP, and adjusted GDP) with real examples of all methods both nationally and internationally. The talk will illustrate the strengths and weaknesses of each approach and discuss the underlying conceptual and statistical frameworks. In particular, it will discuss the statistical issues associated with compiling a composite index of indicators where there can be significant differences in their volatility over time. This will be demonstrated by the early work for compiling composite indicators for the Australian National Development Index (ANDI).

  Dennis Trewin AO FASSA, Former Australian Statistician

  
  

  Dennis Trewin was the Australian Statistician and head of the Australian Bureau of Statistics from July 2000 until January 2007. Prior to that he was Deputy Australian Statistician and, from 1992 to 1995, Deputy Government Statistician in New Zealand. He has been working as a statistical consultant on assignment with a range of countries and with the UN, OECD and World Bank.

  Dennis has held a number of other positions such as an Australian Electoral Commissioner, an Associate Commissioner at the Productivity Commission for the study into the Not for Profit Sector, and a Trustee and Board member for the Australian Government Superannuation Fund. He has been Chairman of the Advisory Board of the ARC Centre of Excellence for Coral Reef Studies, Chairman of the Policy and Advocacy Committee of the Academy of Social Sciences of Australia and the Australian Mathematics Trust. He is or has been an Adjunct Professor at Swinburne, Curtin University, University of Canberra and the University of the South Pacific, and a Council Member of the University of Canberra. He has been recognised as an Officer in the Order of Australia, received a Centenary Medal for his contribution to statistics and an honorary doctorate from James Cook University.

  Internationally, Dennis has been President of the International Statistical Institute and the International Association of Survey Statisticians. He was Chairman of the Global Executive Board for the 2005 round of the World Bank's International Comparison Program.

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• Data and Analytics Leaders Exchange 2020

  • Start
    6 May 2020
  • End
    8 May 2020
  • Location
    Gold Coast, Australia

  Imagine the benefit you would get from joining a group of 50 peers - who share your biggest challenges - to share stories, network and exchange mission critical information you won’t get anywhere else. Here’s a taste of what you can expect to learn about at the Data & Analytics Leaders Exchange:

  - Developing An Enterprise-Wide Data Governance Strategy And Architecture
  - Enabling Data-Driven Decision Making Across The Business
  - Building Organisational Capability For Advanced Analytics
  - Attracting, Retaining, And Up-Skilling Staff For Digitalisation And Technological Developments
  - Maintaining Compliance With GDPR
  - Improving Business Function By Effectively Leveraging Data Insights

  Request an invite

   

  
  

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• SLDS2020

  • Start
    27 May 2020
  • End
    29 May 2020
  • Location
    Irvine, California, USA

  SLDS conferences bring together the vibrant community at the interface of Statistics and Data Science, with a lot of networking and learning opportunities. SLDS 2020 will also feature
          • Keynote talks from Deepak Agarwal (LinkedIn), Regina Liu (Rutgers) and Jane-Ling Wang (UC Davis)
          • More than 47 invited sessions organized by the SLDS 2020 program committee
          • Invited short courses (May 26, 2020) on Deep Learning, AI and Precision Medicine, offered by Annie Qu (UC Irvine), Xiao Wang (Purdue), Edgar Dobriban (Penn), Haoda Fu (Eli Lilly). Seats are limited.
          • Lunch panels will offer opportunities for discussing challenges and opportunities faced by statisticians in light of data science.
          • And much much more ...
  Find out more at asaslds.github.io/SLDS2020/.
  
  

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• 7th International Statistical Ecology Conference- external event

  • Start
    22 Jun 2020
  • End
    26 Jun 2020
  • Location
    Sydney

  This is the first time ISEC will be held in the Southern Hemisphere! Sydney is home to the Sydney Opera House, Bondi Beach, the Tim Tam, half-decent weather even in winter, and it will be whale season...

  Confirmed plenary speakers:

  - Christl Donnelly (Imperial College, London)
  - David Borchers (St Andrews)
  - Di Cook (Monash)
  - Kiona Ogle (Northern Arizona)
  - Mark Bravington (CSIRO)

  Invited sessions on:

  - Reproducible Science
  - Methods for high throughput community data
  For more details go to http://www.isec2020.org/

  There will be a Skills Showcase the day before the conference, with introductory tutorials running in parallel on a diverse range of topics, including Spatial Capture-recapture, Learning Python, Disease modelling and more. As usual, there will be short courses in the days before the conference.

  
  

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• Workshop of the 20th International Conference on Computational Science and Applications

  • Start
    1 Jul 2020
  •  
    (UTC+02:00)
  • End
    4 Jul 2020
  •  
    (UTC+02:00)
  • Location
    Cagliari, Italy

  Workshop of the 20th International Conference on Computational Science and Applications (ICCSA 2020)

  1-4 July 2020 in Cagliari, Italy

  The aim of CAS workshop is to bring together scientists working in computational statistics, scientific computation and applications in all areas of sciences, engineering, industry, economics, life sciences and social sciences.

  Topics of interest include (but are not limited to):

  * Computational Statistics: new issues in the design of computational algorithms for implementing statistical methods, development in R, etc

  * Applications: statistical case study in all areas of sciences, engineering and industry, including economics, medicine, biology, earth sciences and social sciences.

  IMPORTANT DATES:

  29 February 2020: Deadline for abstract and paper submission to the CAS Workshop.

  15 April 2020: Notification of Acceptance.

  8 May 2020: Early-bird Registration ends.

  8 May 2020: Submission deadline for the final version of the Proceeding Papers.

  1-4 July 2020: ICCSA 2020 Conference.

  
  

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• 30th International Biometric Conference (IBC)

  • Start
    5 Jul 2020
  • End
    10 Jul 2020
  • Location
    Seoul, Korea

  The International Program Committee (IPC) of the International Biometric Society’s (IBS) 30thInternational Biometric Conference (IBC2020) calls for Invited Session proposals. IBC2020 will be held 5-10 July 2020 at the COEX (Convention & Exhibition Center), Seoul, Korea.
  

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• CPD112- Git for collaborating with yourself and others

  • When
    5 Jul 2020
  •  
    9:00 AM - 5:00 PM (UTC+10:00)
  • Location
    Mantra Legends, 25 Laycock St, Surfers Paradise QLD
  • Spaces left
    29

  Register

  Simplify your statistical life: Git for collaborating with yourself and others

  Git is currently the most popular Version Control System employed by software developers and statisticians alike. Sites like Github provide a comprehensive platform to encourage collaboration on open source software including R packages but it can do a whole lot more. Git can also be used to manage syntax and data files employed in data analysis or research projects, whether these are for a single analyst or a team.

  This hands-on one day tutorial will step participants through the basics of version control using Git and specific Github features. No knowledge of Git is assumed although this course should also prove valuable to intermediate Git users who want to know more. Participants will be able to apply these techniques to projects employing any statistical analysis and reporting software. Topics covered include Git basics of repository initialisation, configuration, committing changes, branches, stashing, handling merge conflicts and working with remotes along with Github specific tools like forking, issues tracking and continuous integration with Travis. It is expected that participants will install Git on their laptops and obtain a Github account prior to the course. Instructions will be provided prior to the course.

  All sessions will consist of several short presentations of ten to fifteen minutes followed by a hands-on practical of approximately the same length. 

  About the presenter

  Dr Peter Baker has worked as a statistical consultant and researcher in diverse areas such as agricultural research, Bayesian methods for genetics, health, medical and epidemiological studies for over thirty years. Peter has employed tools like Version Control and Make for statistical consulting and research projects for twenty five years. He is a Senior Lecturer in Biostatistics at the School of Public Health, University of Queensland where he also acts as a senior statistical collaborator and adviser to several research projects in the Faculty of Medicine.

  Workshop Venue

  The workshop will be held at the Mantra Legends Hotel, 25 Laycock St, Surfers Paradise QLD. The hotel is only a few tram stops away from the Gold Coast Conference and Exhibition Centre. 

  Early Bird Fees (for registrations received and paid for on or before 10 April 2020)

  Full registration fee: $425
  Full-time students, retirees: $225

  Regular Fees

  Full registration fee: $500
  Full-time students* (pls see asterix below), retirees: $275

  The registration fee includes any course material, tea and coffee on arrival, morning and afternoon tea as well as lunch.
  

  All registration fees are quoted in Australian Dollars. To view the current foreign exchange rates, please visit www.x-rates.com.

  Early Bird Eligibility

  To be entitled to the early bird registration fee you must have registered and paid by 10 April 2020. Unpaid registrations will be deleted on 11 April 2020 unless prior arrangements have been made with the SSA Executive Officer.

  Student Rate

  *A student is defined as a holder of a student identification card from a recognised tertiary or secondary educational institution or a holder of an international student card. Students must be studying full time to qualify for the discounted rate. A copy of your full time student identification card must be sent to the SSA Executive Officer via email to eo@statsoc.org.au. Without this copy, the full registration fee will be charged.

  Please note

  Participants will be required to bring their own laptop. They will need to have Git installed on their laptop and obtain a Github account prior to the workshop.

  Travel Expenses

  Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please contact the SSA Office before making any travel arrangements to confirm that the workshop will go ahead, because the Society will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation. 

  Cancellation Policy

  Cancellations received prior to Thursday, 18 June 2020 will be refunded, minus a $25 administration fee.

  From then onwards no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to eo@statsoc.org.au.

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• CPD111- Logistic Regression in Autostat

  • When
    5 Jul 2020
  •  
    9:00 AM - 5:00 PM (UTC+10:00)
  • Location
    Mantra Legends, 25 Laycock St, Surfers Paradise QLD
  • Spaces left
    30

  Register

  From machine learning to statistical modelling (Frequentist & Bayesian), via logistic regression in Autostat

  About this workshop:

  Today's researchers and quantitative analysts gain a methodological advantage if they can speak the language, and crunch numbers, using different statistical paradigms. Here we step you through the interpretation, advantages and shortcomings of three common paradigms: machine learning, classical statistical modelling (relying on p-values and Wald's confidence intervals for inference); and Bayesian statistical modelling (relying on Markov chain Monte Carlo to simulate from the posterior).

  Target Audience

  This workshop is aimed at practitioners or analysts who have already done "Stats101", an introduction to linear regression which typically focuses on least squares, and uses R-squared for evaluating model fit.

  We examine modelling challenges that can be encountered during logistic regression, and discuss ways to address them. These include: separation and/or perfect prediction as affected by coding of contrasts; diagnostics of model fit; and variable selection.

  Presenters

  Assoc Prof Samantha Low-Choy is a Senior Statistician at Griifith University, having worked as a stats advisor for most of her career, in conjunction with research. Her current role balances collaborative research with advising researchers (incl higher degree research students). Since 2015 she has shaped and a suite of training events in stats and mixed methods with logistics supported by the Office of Research. Starting with 3 events in 2015 on Bayesian statistics there are currently over 40 events (many offered twice a year), with 20 different presenters.

  Her research interests include eliciting expert knowledge and uncertainty, then encoding as Bayesian priors, with well-cited reviews in ecology (Low-Choy, O'Leary & Mengersen, 2009, Ecology; Martin et al 2012, Cons Biol) and a paper published with discussion in Bayesian Analysis (Albert et al 2012). At Griffith her interests have broadened at this interface of quantitative and qualitative methods to consider elicitation of variable usefulness and other aspects of conceptual models. This is exemplified through work with recent PhDs by Katelyn Dyason (2019), Sepideh Jahandideh (2019), Ibrahim Alkhairy (2020) and Ramethaa Pirathiban (2019). Another area of interest is mixing Bayesian with qualitative methods, e.g. Low-Choy, Riley & Alston-Knox, 2017, Educational Media International. She has a keen interest in visualisation, from piper plots (code hosted at USGS in the 90s) to raindrop plots (Vasco & Low-Choy, 2017) and diagnostics for mixture models (Williams, Low-Choy and Alston, 2012, in Expert Knowledge and it's uses in Landscape Ecology,).

  Dr Clair Alston-Knox is a Senior Statistician with Predictive Analytics Group in Melbourne. Her recent transition from an academia to a commercial environment has enabled her to become part of a large team of specialist analysts who are working on the development of AutoStat®, a new cloud based software providing access to a suite of statistical and Machine Learning algorithms, along with fully integrated data management, visualisation, dashboards and document building modules .

  Prior to this role, Clair worked as a statistician in the Griffith Social and Behavioural Research College, providing advice and collaborating with researchers in a range of disciplines. This role often required the development of applied approaches to the analysis of complex questions and models, focusing on both very large and extremely small sample problems. She holds an adjunct position with the Faculty of Arts, Education and Law and maintains an active role at the university.

  Clair has been working as an applied statistician since graduating with a B.Math(Hons) majoring in statistics in 1993. Her first appointment was with NSW Agriculture as a biometrician at a remote location. The key elements of this role were in consulting and team participation in both long term and one-off agriculture trials, in crop, weed and veterinary focused research. Whilst working in this role she completed a Master of Science (Research) in the area of longitudinal analysis of Poisson data, and Generalised linear models. Primarily, her research topic was in the area of accounting for spatial and temporal data that was non-Gaussian in nature.

  She completed a PhD in Bayesian Mixture Models in 2006. The research question driving this thesis was aimed at maximising the information available to livestock managers in terms of making decisions for drought management. This work enabled an accurate temporal view of the sheep carcase condition when subjected to drought. She extended this work in the area of air pollution and habitat suitability models. 

  Workshop Fees

  Early Bird Fees (for registrations received and paid for on or before 10 April 2020)

  Full registration fee: $425
  Full-time students, retirees: $225

  Regular Fees

  Full registration fee: $500
  Full-time students* (pls see asterix below), retirees: $275

  The registration fee includes any course material, tea and coffee on arrival, morning and afternoon tea as well as lunch.
  

  All registration fees are quoted in Australian Dollars. To view the current foreign exchange rates, please visit www.x-rates.com.
  

  Early Bird Eligibility

  To be entitled to the early bird registration fee you must have registered and paid by 10 April 2020. Unpaid registrations will be deleted on 11 April 2020 unless prior arrangements have been made with the SSA Executive Officer.

  Workshop Venue

  Mantra Legends, 25 Laycock St, Surfers Paradise QLD

  Student Rate

  *A student is defined as a holder of a student identification card from a recognised tertiary or secondary educational institution or a holder of an international student card. Students must be studying full time to qualify for the discounted rate. A copy of your full time student identification card must be sent to the SSA Executive Officer via email to eo@statsoc.org.au. Without this copy, the full registration fee will be charged.

  Travel Expenses

  Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please contact the SSA Office before making any travel arrangements to confirm that the workshop will go ahead, because the Society will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation. 

  Cancellation Policy

  Cancellations received prior to Thursday, 18 June 2020 will be refunded, minus a $25 administration fee.

  From then onwards no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to eo@statsoc.org.au.

  Show details
• CPD113- Visualisation for Data Science

  • When
    5 Jul 2020
  •  
    9:00 AM - 5:00 PM (UTC+10:00)
  • Location
    Mantra Legends, 25 Laycock St, Surfers Paradise QLD
  • Spaces left
    30

  Register

  This workshop will help participants to understand the principles of data visualisation and how to implement those principles using the package ggplot in R.

  About the presenters:

  Ian Westbrooke is Principal Science Advisor – Statistics at the Department of Conservation, where he has worked since 2000. Prior to that, he worked in health and at Stats NZ. He has a strong interest in data visualisation and graphing and has presented workshops on data visualisation, statistical modelling and design of monitoring systems throughout NZ and in Australia and Fiji. He has published extensively including on designing science graphs: His most cited paper is centred on two multipanel graphs. 

  Jennifer Browne is professor of statistics and head of department at University of Canterbury. She is an applied statistician with expertise in survey design, environmental monitoring, and analysis and detection of changes in populations over time.  Her interest lies in using statistics to help address the environmental question, and using effective visualisation as a key part of this.

  About this workshop

  Part one covers the proven principles of data visualisation. In part two participants work on applying these principles.

  Topics covered include

  • Why good graphs are important
  • Visual perception and accuracy
  • • Cleveland’s perception hierarchy
  • Types of graphs
  • • Why you can (almost) always do better than a pie chart
  • Visualising multidimensional data
  • Graphical elements and scales

  • An outline of the grammar of graphics and of options for graphing in statistical packages
  • Key elements of the grammar and implementing them using the R package ggplot
  • • Aesthetics
    • Geometry
    • Facets
    • Applications to real data
    • • Participants will have the opportunity to produce simple and more complex graphs with real datasets.
      • Datasets and some example code will be provided, suitable for those just starting out with ggplot, but also providing challenges for those with  more experience.
        
        

  Target Audience
  
  Data analysts and applied statisticians interested in understanding the proven principles of visualisation and applying them to real data using R.

  Prerequisites

  Strongly recommended: a basic knowledge of R is recommended. Essential is an interest in creating visualisations and graphs that allow discovery and communication of the stories data can tell.

  Workshop Fees

  Early Bird Fees (for registrations received and paid for on or before 10 April 2020)

  Full registration fee: $425
  Full-time students, retirees: $225

  Regular Fees

  Full registration fee: $500
  Full-time students* (pls see asterix below), retirees: $275

  The registration fee includes any course material, tea and coffee on arrival, morning and afternoon tea as well as lunch.

  All registration fees are quoted in Australian Dollars. To view the current foreign exchange rates, please visit www.x-rates.com.

  Early Bird Eligibility

  To be entitled to the early bird registration fee you must have registered and paid by 10 April 2020. Unpaid registrations will be deleted on 11 April 2020 unless prior arrangements have been made with the SSA Executive Officer.

  Workshop Venue

  Mantra Legends, 25 Laycock St, Surfers Paradise QLD

  Student Rate

  *A student is defined as a holder of a student identification card from a recognised tertiary or secondary educational institution or a holder of an international student card. Students must be studying full time to qualify for the discounted rate. A copy of your full time student identification card must be sent to the SSA Executive Officer via email to eo@statsoc.org.au. Without this copy, the full registration fee will be charged.

  Travel Expenses

  Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please contact the SSA Office before making any travel arrangements to confirm that the workshop will go ahead, because the Society will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation. 

  Cancellation Policy

  Cancellations received prior to Thursday, 18 June 2020 will be refunded, minus a $25 administration fee.

  From then onwards no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to eo@statsoc.org.au.

  Show details
• CPD114- Business Skills for Business Analytics

  • When
    5 Jul 2020
  •  
    9:00 AM - 5:00 PM (UTC+10:00)
  • Location
    Mantra Legends, 25 Laycock St, Surfers Paradise QLD
  • Spaces left
    30

  Register

  About this course:

  When many people think about the field of Business Analytics then they focus (almost exclusively) on the statistical techniques involved. This over-simplification is probably reinforced by the stereotypical university assignment in statistics where students are given a dataset all ready for analysis, the software tools, the research questions to be explored, and often even the name of the statistical techniques to be employed. In reality the data analysis is only part of a business analytics project. This workshop will step through each of the stages involved in a business analytics project.

  1. Identifying the research questions – When true insights are obtained from an analytics project this is often not from the use of novel statistical methods but is often from asking novel questions of data. How do we work with stakeholders to identify these research questions?

  2. Sourcing the data – There is generally no single repository of data within our organization, and indeed in many cases not all of the useful data for our analytics project is already within our own organization. How can we think broadly about what data we might be able to access (from within and outside our organization) that might contain valuable insights?

  3. Analyzing the data – This is not just a single simple process, but involves the steps of physically moving the data from its source to the environment of our analytics team, error checking, an initial analysis to understand the statistical properties of the dataset, and the main analysis to produce the analytics findings.

  4. Reporting and visualization – Analytics is more than just producing findings. How do we get these findings to different stakeholders at the right time, in the right format, and using the right language so that this meaningful for different stakeholders?

  5. Turning knowledge into business value – Statistics has sometimes been described as the process for turning data into knowledge, but I would argue that if stakeholders simply had more knowledge then that is completely useless. What stakeholders need are the resources needed to make better business decisions. How do we turn knowledge into better business decisions?

  While these 5 stages could be considered as all parts of a single analytics project, we also need to consider the over-arching domain of:

  6. Growing capacity and capability – The majority of companies fail in their efforts to move into the analytics space, and this is generally not because of the statistical techniques. In the majority of cases it is because companies don’t have a clear business strategy for how to grow the capacity and capability for analytics within their organization.

  In this workshop we will work through these 6 domains of business analytics, and begin to give you the important skills for each of these stages.

  This workshop will use a combination of lectures and small group discussions to explore these topics.

  About the presenters

  Dr Mark Griffin is the Founding Director of Insight Research Services Associated (www.insightrsa.com). Mark is also a staff member within the School of Business at the University of Queensland where he teaches courses in business analytics focusing on both statistics and business strategy. His students range from undergraduate students to senior business managers. Mark serves on the Executive Committee for the Statistical Society of Australia, is the Founder and Co-Chair of the Section for Business Analytics, and is the Co-Chair of the ANZSC2020 conference. Mark is the Founder and Co-Chair of the Special Interest Group for Business Analytics within the International Institute of Business Analysis, and played a leading role in establishing the international certification program allowing IIBA members to become certified in business analytics. Since the formation of Insight he has presented over 90 two-day and 15 five-day workshops in statistics and business analytics.

  River Paul leads the statistics and economic analysis team at the Australian Financial Security Authority (AFSA), promoting the use of data and analysis for informed decision making. This team provides analytical services to all divisions within AFSA to shape and improve outcomes. These services include statistical and economic modelling, and data analytics for operational and regulatory areas. River’s team also provide a statistics service to the broader community. This service includes the regular publication of statistics, facilitating research and providing data and specialist statistical services. River has worked in statistics and economic analysis in the government sector for 15 years. She is the co-chair of the Business Analytics Section of the Statistical Society of Australia. River is the 2019 Telstra Australian Capital Territory Business Woman of the Year and Australian Capital Territory Public Sector and Academia Award winner. 

  Target Audience
  
  This workshop is aimed at anyone who is involved in making decisions about how analytics is employed within their organisation. It is envisaged that there will be a range of people in this workshop including statisticians, business analysts, and business managers. There is no prerequisite knowledge required for this workshop.

  Workshop Fees

  Early Bird Fees (for registrations received and paid for on or before 10 April 2020)

  Full registration fee: $425
  Full-time students, retirees: $225

  Regular Fees

  Full registration fee: $500
  Full-time students* (pls see asterix below), retirees: $275

  The registration fee includes any course material, tea and coffee on arrival, morning and afternoon tea as well as lunch.

  All registration fees are quoted in Australian Dollars. To view the current foreign exchange rates, please visit www.x-rates.com.
  

  Early Bird Eligibility

  To be entitled to the early bird registration fee you must have registered and paid by 10 April 2020. Unpaid registrations will be deleted on 11 April 2020 unless prior arrangements have been made with the SSA Executive Officer.

  Student Rate

  *A student is defined as a holder of a student identification card from a recognised tertiary or secondary educational institution or a holder of an international student card. Students must be studying full time to qualify for the discounted rate. A copy of your full time student identification card must be sent to the SSA Executive Officer via email to eo@statsoc.org.au. Without this copy, the full registration fee will be charged.

  Workshop Venue

  Mantra Legends, 25 Laycock St, Surfers Paradise QLD
  The Mantra Legends Hotel is only a few tram stops away from the Gold Coast and Exhibition Centre. A location map  is available here.

  Travel Expenses

  Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please contact the SSA Office before making any travel arrangements to confirm that the workshop will go ahead, because the Society will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation. 

  Cancellation Policy

  Cancellations received prior to Thursday, 18 June 2020 will be refunded, minus a $25 administration fee.

  From then onwards no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to eo@statsoc.org.au.

  Show details
• SSA-Event: ANZSC2020- Modelling Data for a Brighter Future

  • Start
    6 Jul 2020
  •  
    8:00 AM
  • End
    10 Jul 2020
  •  
    6:00 PM
  • Location
    Gold Coast Convention Centre, 2684 -2690 Gold Coast Highway, Broadbeach, QLD

  Welcome to the ANZSC 2020 Conference

  The organising committee warmly invites you to the 2020 Australian and New Zealand Statistical Conference, which will take place on the Gold Coast from the 6th to the 10th of July 2020.

  This conference brings together four leading statistical communities in the region – the Statistical Society of Australia, the New Zealand Statistical Association, the International Institute of Business Analysis (Special Interest Group for Business Analytics), and the Australian Conference on Teaching Statistics.

  The aim of this conference is to bring together a broad range of researchers and practitioners across a variety of statistical disciplines to facilitate the exchange of theory, methods and applications.

  With these four societies working together there will be strong program components of interest to a wide diversity of academic, government, and industry colleagues. This includes the full spectrum of delegates from those advancing theoretical methodology to those working on industry applications (in traditional and non-traditional statistical areas). Of particular interest is how Big Data continues to impact all of us.

  Information on Keynote Speakers and the Conference program will be available shortly so watch this space for updates.

  The conference will be held at the Gold Coast Convention and Exhibition Centre (GCCEC) situated in the heart of the Gold Coast. From GCCEC, Surfers Paradise (the social hub of the Gold Coast) is 5km to the North, the Star Casino and Pacific Fair are immediately to the South (the largest regional shopping and dining destination in Queensland), the beach (Broadbeach) is just ten minutes walk, and the Broadbeach restaurant complex is immediately to the East (short 5 minutes walk). Social tours can easily be made to the rainforest (such as Tambourine National Park and World Heritage-listed Lamington National Park), to places of Aboriginal Indigenous significance, to Stradbroke Island, and to Australia’s greatest theme parks.

  ANZSC2020 promises to be a truly amazing experience on both a professional and a social level.

  Please check out the official conference website and register your interest here.

  We look forward to seeing you on the Gold Coast in 2020!

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• The 35th International Workshop on Statistical Modelling (IWSM2020)

  • Start
    19 Jul 2020
  • End
    24 Jul 2020
  • Location
    Basque Center for Applied Mathematics (BCAM), Bilbao- Spain

  The 35th edition of the International Workshop on Statistical Modelling will be held in Bilbao, Basque Country (Spain) from 19 to 24 July 2020. It will be hosted by the Basque Center for Applied Mathematics (BCAM) and the University of the Basque Country (UPV/EHU). There will be a short course on "Bayesian spatio-temporal modeling" by Virgilio Gómez Rubio on 19 July followed by the main meeting 20-24 July.

  The IWSM is one of the major activities of the Statistical Modelling Society, founded with the purpose of promoting and encouraging statistical modelling in its widest sense, involving both academic and professional statisticians and data analysts. Since its first edition, the spirit of the workshop has always been to focus on problems motivated by real life data and on solutions that make novel contributions to the subject.

  The atmosphere of the workshops is friendly and supportive, with no parallel sessions, with the aim of stimulating the exchange of ideas and experiences related to statistical modelling. As a sign of positive feedback the IWSMs report many returning participants.

  Papers focusing on applications with important substantive implications as well as methodological issues are welcome. Submissions by students and young researchers are particularly encouraged.

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• Mathematics without Borders

  • Start
    28 Sep 2020
  •  
    (UTC+02:00)
  • End
    29 Sep 2020
  •  
    (UTC+02:00)
  • Location
    Strasbourg, France

   The Centennial of the International Mathematical Union

  As you may know, the IMU was founded in September 1920 in Strasbourg, France. On  the occasion of the centennial of the IMU, we are organizing the conference               

   Mathematics without Borders
  The Centennial of the International Mathematical Union             

  You are cordially invited to participate in this conference. We will get back

  with further information regarding registration, accommodation, etc as

  soon as it is available. 

   

  
  

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• WA Young Statisticians Workshop

  • When
    30 Sep 2020
  •  
    (UTC+08:00)
  • Location
    Perth, WA

  The WA Young Statisticians Workshop will be held on 30th September 2020, with further details to follow. 

  Show details
• 7th Biennial ACSPRI Social Science Methodology Conference 2020

  • Start
    2 Dec 2020
  • End
    4 Dec 2020
  • Location
    Sydney, Australia

  The Australian Consortium of Social and Political Research Incorporated (ACSPRI) will host it's 7th Social Science Methodology Conference on the 2nd to 4th of December at The University of Sydney.

  A unique feature of this conference is that it is multi-disciplinary and brings together researchers and methodologists from a range of environments and contexts.

  The conference is organised around four themes:

  1. Research paradigms and designs;
  2. Research methods and techniques;
  3. Research technology and tools;
  4. Datasets, data collections and data archiving.

  There will be two types of submissions considered:

  1. Presentations where an abstract is reviewed (abstract in the conference proceedings).
  2. Posters - including a student poster competition (abstract in the conference proceedings).

  More details will appear on the conference website soon. 

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• 63rd ISI World Statistics Congress 2021

  • Start
    11 Jul 2021
  • End
    15 Jul 2021
  • Location
    The Hague, The Netherlands

  The 63rd ISI World Statistics Congress will bring together statisticians and data scientists from academia, official statistics, health sector and business, junior and senior professionals, in an inviting environment.

  The inspiring and interactive programme will provide the platform to learn about the latest developments in statistical research and practice in an informal ambiance. A series of short courses, satellites and other events completes the WSC programme.

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• Joint Southern Statistical Meetings 2022 (JSSM2022)

  • Start
    27 Jun 2022
  • End
    1 Jul 2022
  • Location
    Darwin, Australia

  The inaugural

  Joint Southern Statistical Meetings 2022

  will be held in Darwin from 27 June – 1 July 2022.

  

  This conference will bring together the leading statistical communities in the region to provide a forum for researchers and practitioners across a variety of statistical disciplines to facilitate the exchange of theory, methods and applications.

  To be kept up to date with our conference planning, please email your details to JSSM2022@gmail.com.

  We invite regional associations to contact us with expressions of interest to be part of this event. If you would like to sponsor JSSM2022 please get in touch as well.

  See you in Darwin in 2022! 
  

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• ICM 2022 - external conference

  • Start
    6 Jul 2022
  • End
    14 Jul 2022
  • Location
    St Petersburg, Russia

  The ICM 2022 (International Congress of Mathematicians) will take place 6–14 July 2022 in St. Petersburg, Russia.
  
  The 19th General Assembly of the IMU will be held in St. Petersburg, on 3–4 July 2022. 
  The official website of the Congress is https://icm2022.org
  

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• XXXI International Biometric Conference (IBC 2022) - external event

  • Start
    10 Jul 2022
  • End
    15 Jul 2022
  • Location
    Riga, Latvia

  to be held at the Radisson Blu Latvija Conference & Spa Hotel

  
  

  Show details