Bayesian Nonparametric Statistics

Name: Bayesian Nonparametric Statistics
Brand: Springer, Berlin
SKU: 9783031740343
Price: 360.78 RON
Availability: InStock

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

Autor: Ismaël Castillo

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Legare: Carte broșată

Editura: Springer, Berlin

Disponibilitate: În depozitul extern

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

Informații despre carte

Autor

Ismaël Castillo

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2024

Pagini

206

EAN

9783031740343

Enbook ID

46582842

Editura

Springer, Berlin

Greutate

326

Dimensiuni

155 x 235

Descriere completă

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

Informații despre carte

Descriere completă

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