Fundamentals of Nonparametric Bayesian Inference

Nonfiction, Science & Nature, Mathematics, Statistics, Business & Finance
Cover of the book Fundamentals of Nonparametric Bayesian Inference by Subhashis Ghosal, Aad van der Vaart, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Subhashis Ghosal, Aad van der Vaart ISBN: 9781108206075
Publisher: Cambridge University Press Publication: June 26, 2017
Imprint: Cambridge University Press Language: English
Author: Subhashis Ghosal, Aad van der Vaart
ISBN: 9781108206075
Publisher: Cambridge University Press
Publication: June 26, 2017
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Cambridge University Press

Cover of the book Racial Subordination in Latin America by Subhashis Ghosal, Aad van der Vaart
Cover of the book Conflict and Commerce in Maritime East Asia by Subhashis Ghosal, Aad van der Vaart
Cover of the book Mental Health and Poverty by Subhashis Ghosal, Aad van der Vaart
Cover of the book International Criminal Tribunals by Subhashis Ghosal, Aad van der Vaart
Cover of the book The Cambridge Introduction to William Wordsworth by Subhashis Ghosal, Aad van der Vaart
Cover of the book Sanctity of Contracts in a Secular Age by Subhashis Ghosal, Aad van der Vaart
Cover of the book Darkness Now Visible by Subhashis Ghosal, Aad van der Vaart
Cover of the book Plasma Chemistry by Subhashis Ghosal, Aad van der Vaart
Cover of the book Wordsworth, Commodification, and Social Concern by Subhashis Ghosal, Aad van der Vaart
Cover of the book Migration and Refugee Law by Subhashis Ghosal, Aad van der Vaart
Cover of the book Unravelling Tort and Crime by Subhashis Ghosal, Aad van der Vaart
Cover of the book Power in Movement by Subhashis Ghosal, Aad van der Vaart
Cover of the book Corporate Lawyers and Corporate Governance by Subhashis Ghosal, Aad van der Vaart
Cover of the book Social Dimensions of Privacy by Subhashis Ghosal, Aad van der Vaart
Cover of the book String Theory: Volume 2, Superstring Theory and Beyond by Subhashis Ghosal, Aad van der Vaart
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy