Bayesian Methods in Statistics: From Concepts to Practice 1st Edition

Bayesian Methods in Statistics: From Concepts to Practice 1st Edition

This book walks you through learning probability and statistics from a Bayesian point of view.? From an introduction to probability theory through to frameworks for doing rigorous calculations of probability, it discusses Baye's Theorem before illustrating how to use it in a variety of different situations with data addressing social and psychological issues. The book also: Equips you with coding skills in the statistical modelling language Stan and programming language R. Discusses how Bayesian approaches to statistics compare to classical approaches. Introduces Markov Chain Monte Carlo methods for doing Bayesian statistics through computer simulations, so you understand how Bayesian solutions are implemented. Features include an introduction to each chapter and a chapter summary to help you check your learning. All the examples and data used in the book are also available in the online resources so you can practice at your own pace. For readers with some understanding of basic mathematical functions and notation, this book will get you up and running so you can do Bayesian statistics with confidence.

Product Details

• Author: Mel Slater
• Publisher: Sage Publications Ltd (UK)
• Subject: Psychology

Why You'll Love It

• Trusted content: clear, well-structured material from a respected source.
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• Perfect for study: ideal for coursework, reference, and self-paced learning.

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