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A Student's Guide to Bayesian Statistics

By Ben Lambert

A Student's Guide to Bayesian Statistics Law

A Student's Guide to Bayesian Statistics

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Description
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.
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
522
Release Date:
2018-05-04
Publication Date:
2018-05-04
Publisher:
SAGE Publications Ltd
Languages:
Original: English
ISBN10:
1473916364
ISBN13:
9781473916364
GPSR Manufacturer Reference:
[email protected]
Weight:
1120 g
Height:
189 cm
Width:
246 cm
Thickness:
32 cm
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