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ASC 2014 Satellite Event
A short-course by Professor Matt Wand
11 July 2014, UTS, Sydney
This workshop will be held in conjunction with the Australian Statistical Conference to be held in Sydney July 7-10 at the Australian Technology Park, Sydney.
Venue: Tower Building 1 CB01.016.11 at 15 Broadway at the University of Technology Sydney
About the presenter:
Matt Wand is a Distinguished Professor in Statistics at the University of Technology, Sydney, Australia. He has held faculty appointments at Harvard University, Rice University, Texas A&M University, University of New South Wales and University of Wollongong. Professor Wand is an elected Fellow of the Australian Academy of Science, American Statistical Association and the Institute of Mathematical Statistics and has been awarded the Moran Medal and Hannan Medal by the Australian Academy of Science for statistical research. He has served as an associate editor for the Journal of the American Statistical Association, Biometrika and Statistica Sinica.
Professor Wand is a co-author of the 2003 Cambridge University Press book “Semiparametric Regression” and has published about 40 papers on the topic.
About the course
Semiparametric regression is concerned with the flexible incorporation of nonlinear functional relationships in regression analyses. Assuming only a basic familiarity with ordinary regression, 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 Stan.
The short-course is based on the book ‘Semiparametric Regression’ by D. Ruppert, M.P. Wand and R.J. Carroll (Cambridge University Press, 2003) and a 2009 Electronic Journal of Statistics paper by the same authors which describes more recent developments on the topic. Please note that this course is introductory. It assumes some knowledge of statistics but no knowledge of Bayesian or MCMC approaches.
The short-course is divided into six sessions. The average session length is about 45 minutes.
Session 1: Spline smoothing and generalised additive models
Session 2: Linear mixed model approach
Session 3: Bayesian hierarchical model approach
Session 4: Additive mixed models
Session 5: Bivariate smoothing
Session 6: Non-standard semiparametric regression
Note that there will be no computer labs during the running of the short course. Instead, participants are encouraged to download R scripts associated with the examples (26 in all, some that call BRugs) and run them later at their leisure. The scripts can also be modified to suit other analysis that the participants might want to do in the future. Course Timetable (including morning tea, lunchtime and afternoon tea breaks)
|Session 1||9:30||70 mins|
|Coffee Break||10:40||30 mins|
|Session 2||11:10||50 mins|
|Session 4||1:50||50 mins|
|Coffee Break||2:40||30 mins|
|Session 5||3:10||35 mins|
|Session 6||3:45||35 mins|
Please note that registrations start at 9:00am.
Practising statisticians wanting to learn the fundamentals of Semiparametric regression or researchers in other disciplines with a statistical knowledge equivalent to 2 years of undergraduate study.
Please note that this course is introductory. It assumes some knowledge of statistics but no knowledge of Bayesian or MCMC approaches.
Early Bird Registrations close on 31 May 2014.
Full Fee: $520.00
Discount for SSAI Members or ASC 2014 paid registrants: $300.00
Full Registrations after 31 May 2014.
Full Fee $620.00
Discount for SSAI Members or ASC 2014 paid registrants: $400.00
(Student membership is available for $20p/a. Regular membership is available for $225 p/a)
Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. However, please contact the SSAI Office before making any travel arrangements to confirm that the workshop will go ahead, because the SSAI will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.
Cancellations received prior to Monday, 23 June 2014 will be refunded in full. Cancellations need to be accompanied by a valid credit card number and expiry date which will be used to put the refund through. After this time no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to email@example.com.
|Time:||9:00 am - 4:30 pm|
|Location:||University of Technology, Sydney,