About this workshop
Semiparametric regression methods build on parametric regression models by allowing more flexible relationships between the predictors and the response variables. Examples of semiparametric regression include generalized additive models, additive mixed models and spatial smoothing. The presenter's goal is to provide an easy-to-follow applied course on semiparametric regression methods using R. There is a vast literature on the semiparametric regression methods. However, most of it is geared towards researchers with advanced knowledge of statistical methods. This course is intended for applied statistical analysts who have some familiarity with R.
This short course explains the techniques and benefits of semiparametric regression in a concise and modular fashion. Spline functions, linear mixed models and Bayesian hierarchical models are shown to play an important role in semiparametric regression. There will be a strong emphasis on implementation in R and rstan with most of the course spent doing computing exercises.
The workshop is based on the in-press book “Semiparametric Regression with R” by J. Harezlak, D. Ruppert and M.P. Wand (Springer, 2018), with website http://semiparametric-regression-with-r.net/, and has the companion methodology and theory book “Semiparametric Regression” by D. Ruppert, M.P. Wand and R.J. Carroll (Cambridge University Press, 2003), with website http://matt-wand.utsacademics.info/webRWCbook/ .
About the presenter
Matt P. Wand is a Distinguished Professor of Statistics at the University of Technology Sydney. He has held faculty appointments at Harvard University, Rice University, Texas A&M University, the University of New South Wales and the University of Wollongong. Professor Wand is an elected fellow of the Australian Academy of Science, the American Statistical Association and the Institute of Mathematical Statistics. He was awarded two of the Australian Academy of Science's medals for statistical research: the Moran Medal in 1997 and the Hannan Medal in 2013. In 2014 he was awarded the Statistical Society of Australia's Pitman Medal. He has served as an associate editor for several journals including Biometrika, Journal of the American Statistical Association and Statistica Sinica. He has co-authored 3 books, more than 100 journal articles and 6 R packages on semiparametric regression and related areas.
Further details about Professor Wand’s research, and every paper he has written, are on the website http://matt-wand.utsacademics.info/
Target Audience
Most of the course will be geared towards researchers with intermediate to advanced knowledge of statistical, particularly regression methods.
Learning Objectives
1. Introduction to semiparametric regression at the applied level
2. Implementation of the presented methods in R and rstan
3. Application of the newly learned methods to a variety of datasets
Fees
Early Bird - Payment before 1 June 2019
Early Bird SSA member $150
Early Bird SSA non-member $390
Early Bird SSA student member $100*
Early Bird SSA non-member student $130*
Payment from 1 June 2019
SSA member $200
SSA non-member $440
SSA student member $150*
SSA non-member student $180*
Membership with SSA is available for full-time students for only $20 (12 months)
Registrations close on Thursday, 20 June 2019. The workshop fees include morning tea and lunch.
Workshop Venue
The workshop will be held at the University of Sydney (Camperdown NSW).
Important
Workshop delegates will need to bring their own laptop. About three weeks before the workshop they will receive instructions on which software to install prior to the event.
Accommodation options
There are a number of accommodation options within 10 minutes of walking distance at Camperdown. Two examples are:
Adina Apartment Hotel Sydney Chippendale, 74-80 Ivy St, Chippendale
Quality Apartments Camperdown, 23-33 Missenden Rd, Camperdown
More options can be found by entering "Carlslaw Building, University of Sydney" into a search on Google Maps and clicking on "Nearby" and then "Hotels nearby".
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, 20 June 2019 will be refunded, minus a $20 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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