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A Student’s Guide to Bayesian Statistics

1st Edition

Ben Lambert
eISBN-13: 9781526418265

eBook Features

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Additional Book Details

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.

Sold By SAGE Publications
ISBNs 9781473916364, 9781473916357, 9781526418265, 1526418266
Language English
Number of Pages 520
Edition 1st