2023
Getting to Know Stats New Zealand- Wendy Dobson, Tiana Whitehead
Why statisticians must have a tailored insurance program - KBI
Causal inference in Econometrics and Health Sciences- Associate Professor Margarita Moreno-Betancur and Dr Akanksha Negi
2022
Enacting sovereign rights of Aboriginal and Torres Strait Islander people in official statistics and other data - Dr Kalinda Griffiths
Belz lecture -Dr Dina Neiger
Bad Statistics in Medical Research- Prof Adrian Barnett
Optimal Design of Comparative Experiments and the odw R Package-Brian Cullis
Evaluation of spatial Bayesian Empirical Likelihood models in analysis of small area data - Dr Farz
clusterBMA: Combine insights from multiple clustering algorithms with Bayesian model averaging- Owen Forbes
Recognising the value of research software - Tom Honeyman
Geostatistics for Regionalised Compositions- AProf Ute Mueller
The initial impact of the COVID-19, social distancing and movement restrictions on crime in NSW, Australia- Dr Joanna Wang
Non parametric and semi parametric models for analysing longitudinal data- Dr Kefei Chen
Considering patient outcomes and healthcare costs when obtaining prediction model cutpoints may improve value-based care- Rex Parsons
The UK Coronavirus Dashboard How we provide a daily, high demand service - Clare Griffiths
Mosaic single cell data integration-Shila Ghazanfar
Really Useful Engines Engineering Data Science - Miles McBain
Current state and prospects of R packages for the design of experiments - Emi Tanaka
Bayesian Analysis of Raman Spectroscopy -Matt Moores
On Arbitrarily Underdispersed Discrete Distributions -Dr Alan Huang
Research software engineers how will they shape statistics -Maëlle Salmon, Paula Andrea Martinez. Thomas Lumley , Nick Golding
Elections…Trust Verify! - Damjan Vukcevic
Prof Adrian Esterman Gideon Meyerowitz-Katz
Lancaster Lecture- A mixing path from theory to applications- Dr. Clara Grazian
A loss-based prior distribution on the number of components of mixture models.- Dr Clara Grazian
Dr Richard A. Iles
2021
Statistics in the public eye the case of predicting election outcome - Prof Simon Jackman
COVID-19 and turnover in the Australian labour market - Gabriela Nodari
Statistical Methodology Development and Software Dissemination - Prof. Matt Wand
E.A. Cornish Lecture - Rob Hyndman
Sieve bootstrap memory parameter in long-range dependent stationary functional time series- Prof. Hanlin Shang
When your research meets Covid A case study- Dr Nancy Briggs
Research in Engineering Statistics: Current Trends and Future Challenges-Dr Manuel Herrera
Ali Shojaeipour Xian Li
Peer-Review Seminar and Panel Discussion- Dr Myra McGuinness, Prof Kate Lee, Prof Andrew Forbes, Prof Alan Welsh
"A Unified Bayesian Model for Predicting Volleyball Games" -Prof. Ioannis Ntzoufras
Belz Lecture- Professor Andrew Forbes
September Industry Event
Can a digital, geospatially enhanced data ecosystem incorporate Indigenous defined protocols, principles and approaches to achieve data democracy for Aboriginal and Torres Strait Islander peoples?- Darren Clinch
The Science of Survival in Game of Thrones - Reidar Lystad
Carrots are good for vision, models are good for visualising discrete data - Gordana Popovic
Consulting environments and their consequences - Alun Pope
Lancaster lecture: Bad statistics in health and medical research - Adrian Barnett
How to see the forest from the trees: Removing pesky artefacts from discrete data for better visualisation - Gordana Popovic
The statistical quandaries of an ecologist: Applied and theoretical statistics for conservation - David Wilkinson
2020
Lancaster Lecture: Count on someone who can count - Thomas Fung
The new normal: distributional regression - Gillian Heller
Models and Uncertainty in the time of COVID-19 - Sally Cripps
Knibbs lecture: A personal tour with Prof. Raymond Carroll - Raymond Carroll
Just not cricket: How did sports science get stuck in the statistical outfield? - Stephen Woodcock
Belz Lecture: "To be trusted is a greater compliment than to be loved": a maxim for official statistics - Teresa Dickinson
The 2020 Statistical Science Lecture (SSL): Zen and the Art of Bayesian Geology/Hydrology/Ecology - Sally Cripps
Partners in Prevention: Understanding and Enhancing First Response to Suicide Crisis Situations - Carla Meurk, Megan Steele, Lisa Wittenhagen, Ed Heffernan
Modelling the Rate of Spread of Fire: A Stochastic Differentiation Equation Approach - Smaila Sanni
Early Career Industry Showcase - Michelle Lugton, Nick de Silva, Ben Phillips, Sarah Romanes, Peter Taylor, Rose Skandari
The Eye of the Beholder: Regression Coefficients & Mechanical Objectivity in Public Health Research - Taya Collyer
SSA Vic Branch Mentoring Evening
Foreman Lecture: What is the difference and does it matter? Reflections on how the methodology work in Official Statistics relates among countries and on the Australian opportunities - Anders Holmberg
Sharpening the Blade: Missing Data Imputation using Supervised Machine Learning - Marcus Suresh, Warren Jin
How Statistics is used to help creating better justice system - A case study - Joanna Wang
Beyond Beamer: Modern and Dynamic Presentations with R Markdown - Emi Tanaka
Restructuring Categorical Predictors using L1-Norm Penalties - Application to Stillbirth Prediction - Emily Whitney
Sensor Networks and Distributed Intelligence - Rachel Cardell-Oliver
Leveraging Statistical Shapes in Genomics: Looking beyond what's normal - Jessica Mar
Raising Heretics: Teaching effective scepticism using data science - Linda McIver
Generalizations of Orthogonal Components in Analysis of Variance - Brenton Clarke
Panel discussion on COVID-19 - Raina MacIntyre, John Maindonald
Mighty Maps: Showcasing Estimate Uncertainty - Susanna Cramb, Lydia Lucchesi
Variable Selection for Decision-Making in Individualised Treatments - Howard Bondell
COVID-19: Modelling and Public Health Policy - Allen Cheng, Freya Shearer
Measuring Well-being - Dennis Trewin
Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies - Murthy Mittinty
Data Co-ops in Australia - Tom Verhelst
2016 - 2019
We all count: Strengthening Stats and Maths through diversity (Talks)
We all count: Strengthening Stats and Maths through diversity (Panel Discussion)
P-values: the good, the bad and the wrong - Ian Marschner
Belz Lecture: Statistics is the Crown Jewel of Data Science - Antony Ugoni
Stochastic modelling and Statistical Analysis of Cosmic Microwave background data - Ravindi Nanayakkara
Using Polygenic Risk Scores to Predict Risk of Disease: hype, hope and statistical reality - Cathryn Lewis
Presenting Uncertainty and Risk - John Henstridge
Foreman Lecture: Challenges in Balancing Data Confidentiality and Utility - Daniel Elazar
Multiple imputation in three-level data structures - Rushani Wijesuriya
Automated Technologies: Systematic Review & Meta-Analysis - Alexandra Bannach-Brown
Detecting Botnet Activity using Machine Learning - Jill Slay
Nonparametric estimation for streaming data - Mao Jiadong
Population Sampling: A Mixed Method Study - Matt Schneider
A Notion of Depth for Curve Data - Pierre Lafaye de Micheaux
Gender and cultural bias in student evaluations of teaching - Yanan Fan
Data science helping to create a better justice system - Suzanne Poynton, Joanna Wang
Time Series: A conference honouring Prof. William Dunsmuir
Cancer maps: the future is here - Susanna Cramb
A recipe for quantifying the impact of prevention - Tony Blakely
Tutorial on Sequential Monte Carlo Methods - Anthony Lee
Lancaster lecture: "Expectations of Life: from past to present" - Kerrie Mengersen
The present and future of tidy data - Hadley Wickham
Latest developments in species distribution modelling - Ian Renner
Multimorbidity: Measurement for HRQoL and Health Service Use - Jeeva Kanesarajah
Reproducibility and Open Science - Fiona Fidler, Hannah Fraser, Matthew Ling
Statistics with industry: demonstrating impact - Shirley Coleman
Big data: does it have anything to do with me? - Xue Li
The journey of an errant statistician: using science to tackle social problems - Ross Homel
Human vs computer: when visualising data, who wins? - Di Cook
Optimisation in the darkness of uncertainty - Kate Smith-Miles
Biostats bonanza! - Valentijn de Jong, Jennifer Thompson, Simon White
The statistician as an expert: the truth, the whole truth, and statistics - John Henstridge
Credit scoring: improved predictions or improved interpretability? - Ed Stokes
Data and Decision-Making: Informative missingness, recommender systems, and personalised medicine - Howard Bondell
Towards massive-scale predictive modelling of infectious disease distributions - Nick Golding
An applied statistician in the 'omics era - Kim-Anh Le Cao
Women in Statistics and Mathematics: Repairing the Leaky Pipeline
Open data: unlocking Melbourne - Steve Bennett
But I'm a data scientist too, aren't I? - Louise Ryan
What does industry need from statisticians? (panel discussion)
A Bird's-Eye View of Statistics for Remote Sensing Data - Noel Cressie
Statistical evaluation of evidence in criminal casework - David Balding
Data Science: Will Computer Science and Informatics Eat our Lunch? - Thomas Lumley
VIC branch: 2017 Young Statisticians Showcase - Anurika De Silva, Dilini Talagala, Kelsey Grantham, Thiyanga Talagala
Statistical Issues in Randomized Breast Cancer Trials - Prue Francis
Probabilistic modelling and inference made easy - Bob Carpenter
Recent Advances in the area of deep learning for big data - Zhen He
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