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Fundamentals of Nonparametric Bayesian Inference

Fundamentals of Nonparametric Bayesian Inference

1 151 kr

1 151 kr

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Mån, 4 aug - fre, 8 aug


Säker betalning

14-dagars öppet köp


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Adlibris

Produktbeskrivning

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 selecting priors that work, the large sample theory is developed systematically, illustrated by various examples of model and prior combinations. Precise sufficient conditions are given, with complete proofs, that ensure desirable posterior properties and behavior. Each chapter ends with historical notes and numerous exercises to deepen and consolidate the reader's understanding, making the book valuable for both graduate students and researchers in statistics and machine learning, as well as in application areas such as econometrics and biostatistics.

Artikel.nr.

c286b60a-6beb-4fa0-b879-6944936d3058

Fundamentals of Nonparametric Bayesian Inference

1 151 kr

1 151 kr

I lager

Mån, 4 aug - fre, 8 aug


Säker betalning

14-dagars öppet köp


Säljs och levereras av

Adlibris