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Software for Flexible Bayesian Modelling by Radford Neal

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Description: Supports Bayesian regression and classification based on neural networks, Gaussian processes and mixture models using a variety of Markov chain sampling methods.
Software for Flexible Bayesian Modeling and Markov Chain Sampling Software for Flexible Bayesian Modeling and Markov Chain Sampling This software supports Bayesian regression and classification models based on neural networks and Gaussian processes, and Bayesian density estimation and clustering using mixture models and Dirichlet diffusion trees. It also supports a variety of Markov chain sampling methods, which may be applied to distributions specified by simple formulas, including simple Bayesian models defined by formulas for the prior and likelihood.
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Page title:Software for Flexible Bayesian Modeling and Markov Chain Sampling
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IP-address:128.100.3.30

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Name servers: bay.cs.utoronto.ca 128.100.1.1 ns1.utoronto.ca 128.100.100.129
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status: registered
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Creation date: 2000/09/28
Expiry date: 2016/03/02