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Fundamentals of Nonparametric Bayesian Inference

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Fundamentals of Nonparametric Bayesian Inference - Ghosal, Subhashis, and van der Vaart, Aad
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Explosive growth in computing power has made Bayesian methods for infinite-dimensional models - Bayesian nonparametrics - a nearly universal framework for inference, finding practical use in numerous subject areas. Written by leading researchers, this authoritative text draws on theoretical advances of the past twenty years to synthesize all aspects of Bayesian nonparametrics, from prior construction to computation and large sample behavior of posteriors. Because understanding the behavior of posteriors is critical to ...

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Fundamentals of Nonparametric Bayesian Inference 2017, Cambridge University Press, Cambridge

ISBN-13: 9780521878265

Hardcover