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Stochastic processes / Statistical inference / Computational statistics / Hidden Markov model / Mixture model / Bayesian inference / Dirichlet process / Particle filter / Gibbs sampling / Statistics / Markov models / Bayesian statistics


Fourth Workshop on BAYESIAN INFERENCE IN STOCHASTIC PROCESSES Villa Monastero, Varenna (LC), Italy
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Document Date: 2005-06-02 18:40:43

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Dallas / San Diego / Chicago / Durham / /

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DPs / Neural Information Processing Systems / MIT Press / Monte Carlo / /

Country

Jordan / Italy / /

Facility

Aston University / stable Levy-driven ARMA / /

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basic algorithms / stochastic systems / actual posterior law / simulation algorithm / real estate markets / related groups / introduced algorithm / prior law / statistical applications / simulation-based sequential algorithms / on-line estimation / posterior law / symmetric stable law / /

Organization

MIT / UC Berkeley / Aston University / /

Person

Stephen G. Walker / David Dunson Bayesian / Rui Paulo / Simon Godsill / Yee Whye Teh Efficient Sampling / Mathieu Kessler / Paolo Bulla / Carlos Carvalho / Gary Yang Inference / Representation / Daniela Golinelli Bayesian / Jesus Palomo / Neill Demiris Bayesian / Andrea Ongaro / Jun Liu Bayesian / Alan E. Gelfand Bayesian / Sara Pasquali Bayesian / K. J. Harris Bayesian / Nikolaos Demiris Bayesian / Paul G. Blackwell / Andrew Golightly / Jason Duan / Darren J. Wilkinson Bayesian / Classical Inference / /

ProgrammingLanguage

ML / /

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Ohio / /

Technology

simulation algorithm / bioinformatics / Metropolis-Hastings algorithm / simulation-based sequential algorithms / machine learning / simulation / stem cells / introduced algorithm / RJMCMC algorithm / Gibbs sampling algorithm / /

URL

www.tuebingen.mpg.de/∼csatol/OGP / /

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