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The conference will open in the afternoon of January 4 with a plenary speech followed by a round table discussion and a welcoming cocktail offered by the CSCS, Swiss National Supercomputing Center.


Program:

FINAL PROGRAM

Plenary Sessions

Invited Sessions

Breaking News Sessions

Round Table Discussion Session

Contributed Sessions



Contributed 1 - Exact Techniques in Monte Carlo Sampling and Inference (top)
  • Summary: One of the main research efforts in Monte Carlo algorithms in the...


  • Contributed 2 - Probabilistic Numerics: Integrating Inference With Integration. (top)
  • Summary: Numerical algorithms, such as methods for...


  • Contributed 3 - Bayesian Inference for Big Environmental Data (top)
  • Summary: Environmental data are now available on an unprecedented scale, both in terms of...


  • Contributed 4 - Bayesian Computation for Spatiotemporal Models (top)
  • Summary: Computation for Bayesian spatiotemporal models is of current and intense interest because of...


  • Contributed 5 - Recent developments in Markov chain Monte Carlo methodology (top)
  • Summary: The Bayesian approach to statistical inference has seen major successes in...


  • Contributed 6 - Recent Advances in Sequential Monte Carlo (top)
  • Summary: Sequential Monte Carlo refers to a class of particle methods that are increasingly popular...


  • Contributed 7 - Recent Approximate MCMC Algorithms (top)
  • Summary: There is considerable interest, at present, amongst specialist in many application domains in...


  • Contributed 8 - Modeling and computing with latent feature models and repulsive point processes (top)
  • Summary: Talks in this session will discuss computational strategies and modeling issues related to...


  • Contributed 9 - Computational aspects in Bayesian Nonparametrics (top)
  • Summary:


  • Contributed 10 - Model Selection and Advanced Scientific Computation (top)
  • Summary: Bayesian inference and advanced scientific computation form a duality in the domain of statistical practice....


  • Contributed 11 - Recent Advances in Variational Bayesian Methods (top)
  • Summary: A key promise of ever-larger data sets is to enable the inference of complex relationships in the data....


  • Contributed 12 - Advances in Adaptive MCMC (top)
  • Summary: Adaptive MCMC is a class of MCMC algorithms that use gradual learning of the target distribution to optimize the simulation parameters....