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SLIDES

Bayesian Statistics and Algorithms
February 29 - March 4, 2016

I) Mini-courses:

  • 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) Talks


  • 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)


















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​Centre International de Rencontres Mathématiques

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​13288 Marseille cedex 9, FRANCE
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