Slides
Counting chickens and other tales Using random effect models and MCMC estimation in applied statistics research. Dr William J. Browne School of Mathematical.
Using complex random effect models in epidemiology and ecology Dr William J. Browne School of Mathematical Sciences University of Nottingham.
Random effect modelling of great tit nesting behaviour William Browne (University of Bristol) In collaboration with Richard Pettifor (Institute of Zoology,
Lecture 23 Spatial Modelling 2 : Multiple membership and CAR models for spatial data.
Lecture 14 MCMC for multilevel logistic regressions in MLwiN.
CHE Seminar 20 November 2013
mlsb07_zhao_iob.ppt
Presentation based on "Hierarchical Bayesian Models of Subtask Learning. Anglim & Wynton (2015): JEP:LMC"
Bayesian Methods
Factorial Mixture of Gaussians and the Marginal Independence Model Ricardo Silva [email protected] Joint work-in-progress with Zoubin Ghahramani.
A comparison of the energetic output of Organic and Conventional farming systems and implications for resilience S. Norton 1, H. Moller 1, J. Benge 2 D.
