Semiparametric Regression Workshop - 1 September 2009
A Short Course by Professor Matt Wand (University of Wollongong, Australia)
Short Course Overview
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 BUGS. The short-course is based on the book 'Semiparametric Regression' by D. Ruppert, M.P. Wand and R.J. Carroll (Cambridge University Press, 2003).
The short-course is divided into six sessions, as follows. The average session length is about 45 minutes, with two sessions in each of three 90 minute blocks. For the location of the rooms below, please see the VUW Campus Map (pdf)
. Signs will be out to help with directions on the day.
8.30am onwards: Registration - Maclaurin building, Foyer
9.00-10.30am: Sessions 1 and 2 - Cotton building, room CO LT122
Session 1: Spline smoothing and generalised additive models
Session 2: Linear mixed model approach
10.30-11.00am: Coffee/tea break - Maclaurin building, Foyer
11.00am-12.30pm: Sessions 3 and 4 - Cotton building, room CO LT122
Session 3: Bayesian hierarchical model approach
Session 4: Additive mixed models
12.30-2.00pm: Lunch - Maclaurin building, Foyer
2.00-3.30pm: Sessions 5 and 6 - Cotton building, room CO LT122
Session 5: Bivariate smoothing
Session 6: Non-standard semiparametric regression
3.30pm onwards: Coffee/tea (until about 4pm in the Maclaurin building, Foyer) and then more networking/socialising...
About the Presenter
Matt Wand is a Research Professor in Statistics at the University of Wollongong, Australia. He has held faculty appointments at Harvard University,
Rice University, Texas A&M University and University of New South Wales. Professor Wand is an elected Fellow of the Australian Academy of Science, American Statistical Association and the Institute of Mathematical Statistics and was awarded the P.A.P. Moran Medal for statistical
research. He has served as an associate editor for the Journal of the American Statistical Association, Biometrika and Statistica Sinica.
Registration and Location
The workshop will be held at Victoria University of Wellington
in the Cotton building
, room CO LT122
; see VUW Campus Map (pdf)
. Further details concerning registration and costs
are available; further inquiries to John.Haywood@msor.vuw.ac.nz