Faculty staff profile

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.

Recent publications and working papers

• Modelling the Impact of Personality on Individual Performance Behavior with a Time-Varying Mixture of Monotonic Random Effects
• Locally Adaptive Nonparametric Binary Regression
• A Bayesian approach to ordinal outcomes for neurosurgical clinical research.
• Mixture of random effects for individual learning curves
• Trans-dimensional Metropolis-Hastings Using Parallel Chains
• Priors for a Bayesian Analysis of Extreme Values
• Bayesian Mixtures of Autoregressive Models
• Local spectral analysis via a Bayesian mixture of smoothing splines” Journal of the American Statistical Association
• View all Sally's working papers & publications