Program

The topics that will be covered are:

  • Introduction to R and Bayesian Statistics (Didier Fraix-Burnet, Institut de Planétologie et d’Astrophysique de Grenoble)
  • Foundations of Bayesian Inference (David van Dyk, Imperial College London)
  • Markov chain Monte Carlo (David van Dyk, Imperial College London)
  • Model Building (David van Dyk, Imperial College London)
  • Nested Sampling, Model Selection, and Bayesian Hierarchical Models (Roberto Trotta, Imperial College London)
  • Approximate Bayesian Computation (Christian Robert, Univ. Paris-Dauphine, Univ. Warwick)
  • Bayesian Nonparametric Inference and Clustering (Julyan Arbel, Université Grenoble Alpes and Inria) 

The slides are available on the following GitHub repository: https://github.com/jarbel/Stat4Astro-Autrans

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