Bayesian Nonparametric Mixture Models: Methods and Applications (Chapman & Hall/CRC Texts in Statistical Science) Hardcover
暫譯: 貝葉斯非參數混合模型:方法與應用(Chapman & Hall/CRC 統計科學系列)硬皮書

Abel Rodriguez, Athanasios Kottas

  • 出版商: CRC
  • 出版日期: 2020-08-01
  • 售價: $2,910
  • 貴賓價: 9.5$2,765
  • 語言: 英文
  • 頁數: 350
  • 裝訂: Hardcover
  • ISBN: 1466513608
  • ISBN-13: 9781466513600
  • 相關分類: 機率統計學 Probability-and-statistics
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Bayesian nonparametric methods, in particular nonparametric mixture models, have become extremely popular in the last 10 years and are becoming part of the foundational material that any Bayesian statistician needs to be familiar with. This book introduces Bayesian nonparametric mixture models to readers with intermediate knowledge of Bayesian statistical methods and computation using simulation-based methods such as Markov chain Monte Carlo. Suitable for professional statisticians and graduate students, it is one of the first books to offer an introductory text on Bayesian nonparametric mixture modeling.

商品描述(中文翻譯)

貝葉斯非參數方法,特別是非參數混合模型,在過去十年中變得極為流行,並且已成為任何貝葉斯統計學家需要熟悉的基礎材料之一。本書向具備中級貝葉斯統計方法和計算知識的讀者介紹貝葉斯非參數混合模型,並使用基於模擬的方法,如馬可夫鏈蒙特卡羅(Markov chain Monte Carlo)。本書適合專業統計學家和研究生,是首批提供貝葉斯非參數混合建模入門文本的書籍之一。