Bayesian Nonparametric Statistics

Name: Bayesian Nonparametric Statistics
Brand: Springer, Berlin
SKU: 9783031740343
Price: 68.58 EUR
Availability: InStock

École d'Été de Probabilités de Saint-Flour L - 2023

Автор: Ismaël Castillo

Език:

Корици: С меки корици

Издател: Springer, Berlin

Наличност: Външен склад

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68.58 € 134.12 лв

This up-to-date overview of Bayesian nonparametric statistics provides both an introduction to the f...

Информация за книгата

Автор

Ismaël Castillo

Език

Английски език

Корици

Книга - С меки корици

Издадена

2024

страници

206

EAN

9783031740343

Enbook ID

46582842

Издател

Springer, Berlin

Теглоt

326

Размери

155 x 235

Пълно описание

This up-to-date overview of Bayesian nonparametric statistics provides both an introduction to the field and coverage of recent research topics, including deep neural networks, high-dimensional models and multiple testing, Bernstein-von Mises theorems and variational Bayes approximations, many of which have previously only been accessible through research articles. Although Bayesian posterior distributions are widely applied in astrophysics, inverse problems, genomics, machine learning and elsewhere, their theory is still only partially understood, especially in complex settings such as nonparametric or semiparametric models. Here, the available theory on the frequentist analysis of posterior distributions is outlined in terms of convergence rates, limiting shape results and uncertainty quantification. Based on lecture notes for a course given at the St-Flour summer school in 2023, the book is aimed at researchers and graduate students in statistics and probability.

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Bayesian Nonparametric Statistics

École d'Été de Probabilités de Saint-Flour L - 2023

Информация за книгата

Пълно описание

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