580.691 Learning Theory Reza Shadmehr Bayesian learning 1: Bayes rule, priors and maximum a posteriori.
Bayesian Treatment of Incomplete Discrete Data applied to Mutual Information and Feature Selection Marcus Hutter & Marco Zaffalon IDSIA IDSIA Galleria.
Presentation and implementation of a new approach of age from biological indicators (Bayesian inference procedure) Luc Buchet, Henri Caussinus, Daniel.
Using microarray for identifying regulatory motifs and analysing time series gene expression Outline: Using Bayesian statistics in classifying genes in.
Cosmological Parameters and the WMAP data Antony Lewis CfA, Harvard / CITA, Toronto Standard assumptions – what are the parameters?
Primordial perturbations and precision cosmology from the Cosmic Microwave Background Antony Lewis CITA, University of Toronto .
Case studies in Gaussian process modelling of computer codes for carbon accounting Marc Kennedy, Clive Anderson, Stefano Conti, Tony OHagan.
MCMC Estimation for Random Effect Modelling – The MLwiN experience Dr William J. Browne School of Math Sciences University of Nottingham.
Simple methods to improve MCMC efficiency in random effect models William Browne*, Mousa Golalizadeh*, Martin Green and Fiona Steele Universities of Bristol.
Lecture 2 Bayesian Statistics and Inference. Lecture Contents What is Bayesian inference Prior distributions Examples of conjugate Bayesian analysis Credible.
Lecture 14 MCMC for multilevel logistic regressions in MLwiN.
Lewin A 1, Richardson S 1, Marshall C 1, Glazier A 2 and Aitman T 2 (2006), Biometrics 62, 1-9. 1: Imperial College Dept. Epidemiology 2: Imperial College.
