Overview
Kerrie Mengersen is a Bayesian statistician, formerly at the University of Newcastle and Queensland University of Technology (QUT), where she holds a Distinguished Professor appointment. Her research spans Bayesian computation, MCMC methods, mixture models, and hierarchical Bayesian modelling with applications in environmental monitoring, health, and ecology. She is a co-author of Besag, Green, Higdon, and Mengersen (1995), a comprehensive survey of Bayesian computation and stochastic systems in Statistical Science.
Key Contributions / Features
- Besag, Green, Higdon, and Mengersen (1995) — "Bayesian Computation and Stochastic Systems", Statistical Science 10: 3–66: canonical survey of MCMC algorithms (Gibbs, MH, data augmentation, spatial models) with discussion.
- Perron and Mengersen (2001) — "Bayesian Nonparametric Modeling Using Mixtures of Triangular Distributions", Biometrics 57(2): 518–528: reversible jump MCMC for Bayesian nonparametric regression via triangular mixture CDFs; uniform approximation theorem (Theorem 3: ∥F−H∥≤3/2r); survival analysis application.
Related