SLIDES
Semaine Bayésienne et algorithmes
29 février au 4 mars 2016
- Simon Barthelmé (Gipsa-lab Grenoble)
The Expectation-Propagation Algorithm: a tutorial (part. 1) – (part. 2 )
- Christine Keribin (Université Paris Sud)
Variational Bayes methods and algorithms (part. 1) – (part. 2)
- Jean-Michel Marin (Université Montpellier)
Approximate Bayesian Computation methods for model choice a machine learning point of view (part. 1) – (part. 2)
- Christian P. Robert (Université Paris Dauphine & University of Warwick)
Markov Chain Monte Carlo Methods (part. 1) – Rao-Blackwellisation for accelerating Metropolis-Hastings (part. 2)
II) Exposés:
- Leonardo Bottolo (University of Cambridge)
Bayesian hierarchical model for financial time series (pdf)
- Nicolas Chopin (ENSAE Paris-Tech)
Leave Pima Indians alone (pdf)
- Guillaume Dehaene (Université de Genève)
Expectation Propagation in the large-data limit (pdf)
- Pierre Druilhet (Université Blaise Pascal Clermont-Ferrand)
Convergence modes for prior distributions (pdf)
- Richard Everitt (University of Reading)
Sequential Monte Carlo with estimated likelihoods (pdf)
- Nial Friel (University College Dublin)
Approximate Bayesian inference for Gibbs random fields: noisy MCMC (pdf)
- Pierre Latouche (Université Paris 1 Panthéon-Sorbonne)
Goodness of fit of logistic models for random graphs (pdf)
- Denys Pommeret (Aix-Marseille Université)
Combining ridge parameter with the g-prior of Zellner (pdf)
- Dennis Prangle (Newcastle University)
A data augmentation approach to high dimensional ABC (pdf)
- Pierre Pudlo (Aix-Marseille Université)
Adaptive multiple importance sampling (pdf)
- Sylvia Richardson (MRC Biostatistics Unit)
Exploring the presence of complex dependence structures in epidemiological and genomic data through flexible clustering (pdf)
- James Ridgway (ENSAE ParisTech)
On the properties of variational approximations of Gibbs posteriors (pdf)
- Stéphane Robin (AgroParisTech)
Exact Bayesian inference for some models with discrete parameters (pdf)
- Judith Rousseau (ENSAE ParisTech)
Nonparametric mixture models with finite state space (pdf)
- Daniel Rudolf (Friedrich-Schiller-University of Jena)
Approximations of geometrically ergodic Markov chains (pdf)
- Adeline Samson (Université Joseph Fourier Grenoble)
Bayesian and Frequentist algorithms to estimate parameters of Stochastic differential equations (pdf)
- Darren Wilkinson (Newcastle University)
Bayesian Hierarchical Modelling of Genetic Interaction in Yeast (pdf)