Sally Wood joined MBS in 2009. Prior to joining MBS Sally has been on the faculty of
the Australian Graduate School of Management (AGSM) and the Dept of Statistics at
Northwestern University. Sally's research focusses on using Bayesian theory together
with Markov chain Monte Carlo (MCMC) methods to develop techniques for modelling complex
data in a flexible manner. 

Sally has applied these new methods to number of areas, ranging from modelling learning
behaviours (with members of the Accelerated Learning Laboratory) to modelling changes in
rainfall patterns across Australia. Her work has appeared widely in top journals in
statistics, including the Journal of the American Statistical Association, Journal of the
Royal Statistical Society B , Biometrika and the Journal of Computational and Graphical
Statistics. Sally has consulted widely on behalf of the scientific community as well as
for companies in the financial services areas.

Refereed Articles

Link

Local spectral analysis via a Bayesian mixture of smoothing splines” Journal of the American Statistical Association (with Ori Rosen and David Stoffer), Journal of the American Statistical Association (2009)
 

Link

Locally Adaptive Nonparametric Binary Regression (with Martin B. Tanner, Wenxin Jiang, Robert Kohn, and Remy Cottet), Journal of Computational and Graphical Statistics (2008)
 

Under Review

Bayesian Mixtures of Autoregressive Models (with Ori Rosen and Robert Kohn) (2009)
In this paper we propose a class of time-domain models for analyzing possibly nonstationary time...
 

Working Papers

A Bayesian approach to ordinal outcomes for neurosurgical clinical research. (2009)
The objective of this study is to demonstrate a Bayesian approach for the statistical analysis...
 

Mixture of random effects for individual learning curves (with Edward Cripps and Robert Wood) (2009)
In the pyschology literature individuals are often classified as entity theorists or incrementalists. In this...
 

Priors for a Bayesian Analysis of Extreme Values (with julian Wang) (2009)
This article proposes a new prior specification for a Bayesian analysis of the k largest...
 

Trans-dimensional Metropolis-Hastings Using Parallel Chains (with James Pullen, Robert Kohn, and David Leslie) (2009)
A general Bayesian sampling method is developed that uses parallel chains to select between models...