Computation

On two ideas in sequential Monte Carlo methods

Presented by: 
Jun Liu, Harvard University
March, 2012

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BIRS Workshop: Challenges and Advances in High Dimensional and High Complexity Monte Carlo Computation and Theory

Adaptive MCMC for high dimensional and high complexity problem

Presented by: 
Nando de Freitas, University of British Columbia
March, 2012

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BIRS Workshop: Challenges and Advances in High Dimensional and High Complexity Monte Carlo Computation and Theory

Adapting Metropolis algorithms and Gibbs samplers

Presented by: 
Jeffrey Rosenthal, University of Toronto
March, 2012

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BIRS Workshop: Challenges and Advances in High Dimensional and High Complexity Monte Carlo Computation and Theory

Approximate Bayesian Computation for Model Selection

Presented by: 
Christian Robert, Universite Paris-Dauphine
March, 2012

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BIRS Workshop: Challenges and Advances in High Dimensional and High Complexity Monte Carlo Computation and Theory

Markov Chain Monte Carlo

Presented by: 
Iain Murray, School of Informatics, University of Edinburgh
November, 2009


Markov Chain Monte Carlo

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Bayesian Inference

Presented by: 
Peter Green
September, 2011


Bayesian Inference

3 videos

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Correlated sampling without re-weighting: computing properties with size-independent variances

Presented by: 
Roland Assaraf, Université Pierre et Marie Curie
March, 2012

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Presentation at "Challenges and Advances in High Dimensional and High Complexity Monte Carlo Computation and Theory" conference