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A student's guide to Bayesian statistics /

紀錄類型:	書目-語言資料,印刷品 : 單行本
正題名/作者:	A student's guide to Bayesian statistics // Ben Lambert.
作者:	Lambert, Ben.
出版者:	Los Angeles :SAGE,2018.
面頁冊數:	xx, 498 p. :ill. (chiefly col.), col. maps ;25 cm.
標題:	Bayesian statistical decision theory. -
ISBN:	9781473916364 (pbk.) :
ISBN:	1473916364 (pbk.)
ISBN:	9781473916357 (bound)
ISBN:	1473916356 (bound)

A student's guide to Bayesian statistics /
Lambert, Ben.

A student's guide to Bayesian statistics /Ben Lambert. - Los Angeles :SAGE,2018. - xx, 498 p. :ill. (chiefly col.), col. maps ;25 cm.

Includes bibliographical references (p. [489]-491) and index.

An introduction to Bayesian inference -- Understanding the Bayesian formula -- Analytic Bayesian methods -- A practical guide to doing real-life Bayesian analysis: Computational Bayes -- Hierarchical models and regression.

"Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book is the first student-focused introduction to Bayesian statistics. Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers. Through a logical structure that introduces and builds upon key concepts in a gradual way and slowly acclimatizes students to using R and Stan software, the book covers: An introduction to probability and Bayesian inference, Understanding Bayes' rule, Nuts and bolts of Bayesian analytic methods, Computational Bayes and real-world Bayesian analysis, Regression analysis and hierarchical methods. This unique guide will help students develop the statistical confidence and skills to put the Bayesian formula into practice, from the basic concepts of statistical inference to complex applications of analyses." --

ISBN: 9781473916364 (pbk.) :NT1000

LCCN: 2017942214Subjects--Topical Terms:

157542
Bayesian statistical decision theory.

LC Class. No.: QA279.5 / .L36 2018

Dewey Class. No.: 519.5/42

A student's guide to Bayesian statistics /
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245 1 2 $a A student's guide to Bayesian statistics / $c Ben Lambert.
260 # $a Los Angeles : $b SAGE, $c 2018.
300 $a xx, 498 p. : $b ill. (chiefly col.), col. maps ; $c 25 cm.
504 $a Includes bibliographical references (p. [489]-491) and index.
505 0 # $a An introduction to Bayesian inference -- Understanding the Bayesian formula -- Analytic Bayesian methods -- A practical guide to doing real-life Bayesian analysis: Computational Bayes -- Hierarchical models and regression.
520 # $a "Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book is the first student-focused introduction to Bayesian statistics. Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers. Through a logical structure that introduces and builds upon key concepts in a gradual way and slowly acclimatizes students to using R and Stan software, the book covers: An introduction to probability and Bayesian inference, Understanding Bayes' rule, Nuts and bolts of Bayesian analytic methods, Computational Bayes and real-world Bayesian analysis, Regression analysis and hierarchical methods. This unique guide will help students develop the statistical confidence and skills to put the Bayesian formula into practice, from the basic concepts of statistical inference to complex applications of analyses." -- $c Back cover.
650 # 0 $a Bayesian statistical decision theory. $3 157542