Statistical Rethinking: A Bayesian Course with Examples in R and Stan, 2/e (Hardcover)

McElreath, Richard

  • 出版商: CRC
  • 出版日期: 2020-03-16
  • 售價: $3,600
  • 貴賓價: 9.5$3,420
  • 語言: 英文
  • 頁數: 612
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 036713991X
  • ISBN-13: 9780367139919
  • 相關分類: R 語言機率統計學 Probability-and-statistics
  • 立即出貨(限量) (庫存=2)

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商品描述

 

The very popular Statistical Rethinking: A Bayesian Course with Examples in R and Stan, Second Edition builds readers' knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.

 

The main changes in the second edition are:

 

 

 

 

 

 

 

 

 

 

 

 

  • Map2stan has been replaced by ulam. The new ulam is also much more flexible, mainly because it does not make any assumptions about GLM structure and allows explicit variable types within the formula list.
  • Most modeling examples have some prior predictive simulation. This is the most useful addition to the second edition as it helps understanding not only priors but the model itself.
  • Chapter 5 on multiple regression has been split into two chapters. The first chapter focuses on helpful aspects of regression. The second focuses on ways that it can mislead.
  • Chapter 4 now ends with B-splines. The chapter on count models, Chapter 11, now includes an item-response (factor analytic) example. Chapter 12 contains a survival analysis with censoring. Chapter 14 has an example of a phylogenetic distance regression. The new Chapter 16 focuses on models that are not easily conceived of as GLMMs.
  • There are new data examples such as the Japanese cherry blossoms historical time series and a larger primate evolution data set with 300 species and a matching phylogeny.
  • There are several places where raw Stan model code is explained inside optional boxes. This makes the transition to working directly in Stan easier but the main text remains R script using the rethinking package's teaching tools.

商品描述(中文翻譯)

非常受歡迎的《統計重新思考:R和Stan實例的貝葉斯課程,第二版》建立了讀者對統計建模的知識和信心。考慮到當今基於模型的統計中即使是較小的編程需求,本書鼓勵讀者進行通常自動化的逐步計算。這種獨特的計算方法確保讀者了解足夠的細節,以在自己的建模工作中做出合理的選擇和解釋。

第二版的主要變化包括:

- Map2stan已被ulam取代。新的ulam更加靈活,主要是因為它不對GLM結構做任何假設,並允許在公式列表中使用明確的變量類型。
- 大多數建模示例都包含一些先驗預測模擬。這是第二版最有用的新增功能,因為它有助於理解先驗預測和模型本身。
- 第5章關於多元回歸已分為兩章。第一章重點介紹回歸的有用方面,第二章重點介紹可能引導誤導的方法。
- 第4章現在以B樣條結束。計數模型的第11章現在包括一個項目反應(因子分析)示例。第12章包含一個帶有截取的生存分析。第14章有一個物種親緣距離回歸的示例。新的第16章重點介紹不容易被視為GLMM的模型。
- 新增了一些數據示例,例如日本櫻花的歷史時間序列和一個包含300個物種和相應親緣關係的更大的靈長類演化數據集。
- 有幾個地方解釋了原始的Stan模型代碼,放在可選的方框內。這使得直接在Stan中工作的過渡更容易,但主要文本仍然使用rethinking套件的教學工具的R腳本。

作者簡介

Richard McElreath studies human evolutionary ecology and is a Director at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany. He has published extensively on the mathematical theory and statistical analysis of social behavior, including his first book (with Robert Boyd), Mathematical Models of Social Evolution.

作者簡介(中文翻譯)

Richard McElreath 是一位研究人類進化生態學的學者,並且是德國萊比錫的馬克斯·普朗克人類進化學研究所的主任。他在社會行為的數學理論和統計分析方面有豐富的出版物,包括他與 Robert Boyd 合著的第一本書《社會進化的數學模型》。