CRiSM seminars 2005-2007
2005
September 19th (at 2pm)
Cristiano Varin (University of Padua)
Composite marginal likelihood inference
October 20th
Steffen Lauritzen (University of Oxford)
Coloured Graphical Gaussian Models
October 27th
Gareth Roberts (University of Lancaster)
Exact and computationally efficient likelihood--based estimation for discretely observed diffusion processes
November 3rd (at 3.30pm)
CRiSM presents Statistical MTV
Programme
November 9th (at 4pm in S0.13, Social Sciences Building)
Alex McNeil (ETH Zurich)
Joint CRiSM and Warwick Business School Seminar
Self-exciting models for extremes in financial time series
November 14th (at 4pm in MS.05, Mathematics and Statistics Building)
Nigel Stallard (Warwick Medical School)
Statistical methods for clinical trials with treatment selection
November 17th
Joint CRiSM and Centre for Scientific Computing Seminar
Darren Wilkinson (University of Newcastle)
Bayesian inference for nonlinear multivariate diffusion processes, with application to biochemical network dynamics
November 24th
Eddie McKenzie (University of Strathclyde)
November 28th (at 5.00pm in S0.20, Social Sciences)
Joint CRiSM and Econometrics Seminar
David F. Hendry (Nuffield College, University of Oxford)
Resolving Five 'Intractable' Problems by Automatic Model Selection
December 1st
Vern Farewell (MRC Biostatistics Unit, Cambridge)
The emergence of medical statistics: A little bit of history
2006
January 12th
Charles Taylor (University of Leeds)
Boosting Kernel Density Estimation: Theory and Application
January 19th
Nial Friel (University of Glasgow)
Marginal likelihoods via power posteriors
February 9th
Joint CRiSM and CSC seminar
Christian Robert (
Ceremade - Université Paris-Dauphine)
Minimum variance importance sampling via Population Monte Carlo
February 16th
Bill Browne (University of Nottingham)
Classification of mass spectroscopy data using principal components analysis, Bayesian MCMC modelling and a deterministic peak finding algorithm
February 20th
Joint CRiSM and Econometrics
Nicolas Chopin (University of Bristol) - Talk at 2.00pm in Rm B3.03, Tea & Coffee at 3.00pm
Inference and model choice for time-ordered hidden Markov models
March 2nd
Rui Paulo (University of Bristol)
Mixtures of g-priors for Bayesian Variable Selection
March 9th
Haralambos Evangelaras (N.T.U.A - Athens)
Screening with Orthogonal Arrays
May 4th
Nick Heard (Imperial College London)
Incorporating different data sources in gene expression clustering.
September 28th
Michel Mouchart (Institut de Statistique, Belgium)
Ignorable Missingness
October 12th
Guido Consonni (University of Pavia, Italy)
Prior specification across models with an application to Bayesian variable selection in linear models
October 19th
Luca La Rocca (University of Modena and Reggio Emilia, Italy)
Bayesian analysis of matched categorical data
November 9th
Milan Studeny (Institute of Theory and Automation, Czech Republic)
A glance at graphical modelling in statistics and artificial intelligence
November 16th
Alfred Kume (University of Kent)
Maximum-likelihood estimation for the offset normal shape distributions using EM
Joint CRiSM and CSC seminar
November 23rd
Francois Le Gland (IRISA/INRIA)
Adapting the number of particles in sequential Monte Carlo methods
November 30th
Allan Seheult (University of Durham)
Prior viability assessment for Bayesian analysis
December 14th
Ben Cowling (University of Hong Kong)
Estimating the incubation distribution of an infectious disease
2007
February 1st
Ian White (MRC, Cambridge)
Causal inference from randomised clinical trials: when is it needed and why isn’t it done?
February 15th
Raazesh Sainudin (University of Oxford)
An Auto-validating Rejection Sampler
February 22nd
Helene Massam (York University, Toronto)
Wishart distributions for decomposable graph
February 26th - Joint Stats/Econometrics Seminar, venue: S0.20 (social studies ground floor), time: 17.00-18.30
Jean-Pierre Florens (University of Toulouse and IUF)
March 9th - Please note this seminar will start at 3pm
Dan Gamerman
Bayesian Analysis of the Item Response Theory: A Generalized Approach
Multiagent Probabilistic Reasoning with Multiply Sectioned Bayesian Networks
Distributions of functionals of the two parameter Poisson–Dirichlet process
Bayesian nonparametric methods for prediction in EST analysis
Dynamic Covariates and Frailty for Recurrent Event Data
Stein estimation and prediction: a synthesis