Description: A Student?s Guide to Bayesian StatisticsAuthor(s): Ben Lambert Format: Paperback Publisher: SAGE Publications Ltd, United Kingdom Imprint: SAGE Publications Ltd ISBN-13: 9781473916364, 978-1473916364 Synopsis 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.
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Book Title: A Students Guide to Bayesian Statistics
Number of Pages: 520 Pages
Publication Name: A Student's Guide to Bayesian Statistics
Language: English
Publisher: SAGE Publications LTD
Item Height: 246 mm
Subject: Mathematics
Publication Year: 2018
Type: Textbook
Item Weight: 1000 g
Author: Ben Lambert
Item Width: 189 mm
Format: Paperback
