Nicholas G. Polson – författare
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6 produkter
Bayesian Theory and Applications
Av David A. Stephens, Nicholas G. Polson m. fl.
E-bok, 2013
899 kr
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The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical Bayesian statistics. This volume guides the reader …
Bayesian Theory and Applications
Av Paul Damien, Petros Dellaportas m. fl.
Häftad, 2015
1414 kr
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The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical Bayesian statistics. This volume guides the reader …
Bayesian Theory and Applications
Av Paul Damien, Petros Dellaportas m. fl.
Inbunden, 2013
2899 kr
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The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical Bayesian statistics. This volume guides the reader …
Generative Bayesian Computation
Quantile Neural Networks for Inference and Surrogates
Av Nicholas G. Polson, Vadim Sokolov
Häftad, 2027
971 kr
Kommande
This book introduces Generative Bayesian Computation (GBC), a transformative framework that replaces traditional Markov chain Monte Carlo methods with deep quantile neural networks trained by stochastic gradient descent. At its core, GBC leverages the noise outsourcing theorem and implicit quantile …
Generative Bayesian Computation
Quantile Neural Networks for Inference and Surrogates
Av Nicholas G. Polson, Vadim Sokolov
Inbunden, 2027
2713 kr
Kommande
This book introduces Generative Bayesian Computation (GBC), a transformative framework that replaces traditional Markov chain Monte Carlo methods with deep quantile neural networks trained by stochastic gradient descent. At its core, GBC leverages the noise outsourcing theorem and implicit quantile …
BAYESIAN INFERENCE
Av Nicholas G. Polson, George C. Tiao
Inbunden, 1995
6784 kr
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This two volume set is a collection of 30 classic papers presenting ideas which have now become standard in the field of Bayesian inference. Topics covered include the central field of statistical inference as well as applications to areas of probability theory, information theory, utility theory …
