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Fundamentals of nonparametric Bayesian inference /

Библиографические подробности
Главный автор: Ghosal, Subhashis
Другие авторы: Vaart, Aad van der 1959
Формат: Printed Book
Язык:English
Опубликовано: United Kingdom : Cambridge , 2017
Серии:Cambridge series in statistical and probabilistic mathematics
Предметы:
Online-ссылка:https://www.loc.gov/catdir/enhancements/fy1702/2016056429-b.html
https://www.loc.gov/catdir/enhancements/fy1702/2016056429-d.html
https://www.loc.gov/catdir/enhancements/fy1702/2016056429-t.html
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245 1 0 |a Fundamentals of nonparametric Bayesian inference /  |c Subhashis Ghosal and Aad van der vaart 
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263 |a 1704 
300 |a xxiv,646 cm. 
490 0 |a Cambridge series in statistical and probabilistic mathematics 
500 |a Fundamentals of Nonparametric Bayesian Inference is the first book to comprehensively cover models, methods, and theories of Bayesian non parametrics. Readers can learn basic ideas and intuitions as well as rigorous treatments of underlying theories and computations from this wonderful book. 
504 |a Includes bibliographical references and indexes. 
650 7 |a Nonparametric statistics  |2 fast  |9 1101046 
650 0 |a Bayesian statistical decision theory. 
653 |a Statistical and probabilistic mathematics 
700 |a Vaart, Aad van der  |9 1579474  |d 1959 
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