Contributed talks:

• Alexandros Beskos (National University of Singapore, Singapore)
  Sequential Monte-Carlo methods for applications in high dimensions
  Abstract BISP8.17

• Paul Blackwell (University of Sheffield, UK)
  Simulation-based bayesian inference for animal movement in continuous time
  Abstract BISP8.18

• Jake Carson (University of Nottingham, UK)
  What drives the glacial-interglacial cycle? A Bayesian approach to a long-standing model selection problem
  Abstract BISP8.19

• Christopher C. Drovandi (Queensland University of Technology, Australia)
  Bayesian experimental design for stochastic biological models with computational demanding likelihoods
  Abstract BISP8.20

• Sandra Fortini (Bocconi University, Milano)
  Predictive characterization of priors for Bayesian inference for Markov exchangeable processes
  Abstract BISP8.21

• Andrew Golightly (Newcastle University, UK)
  Auxiliary particle MCMC schemes for partially observed diffusion processes
  Abstract BISP8.22

• Edward Knock (University of Nottingham, UK)
  Bayesian non-parametric inference for stochastic epidemic models
  Abstract BISP8.23

• Samuel Kou (Harvard University, USA)
  Bayesian multi-resolution inference of stochastic models from partially observed data
  Abstract BISP8.24

• Simo Särkkä (Aalto University, Finland)
  Importance sampling of discretely observed multivariate diffusion processes via the Girsanov theorem
  Abstract BISP8.25

• Scott C. Schmidler (Duke University, USA)
  Bayesian inference for correlated diffusions in shape spaces with applications to phylogenetics
  Abstract BISP8.26

last update: 9/9/2012

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