Mel Slater
Bayesian Methods in Statistics: From Concepts to Practice
Bayesian Methods in Statistics: From Concepts to Practice
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- More about Bayesian Methods in Statistics: From Concepts to Practice
This book provides a comprehensive guide to learning probability and statistics from a Bayesian point of view, covering probability theory, Bayes Theorem, statistical modelling, and computer simulations. It is suitable for readers with some understanding of basic mathematical functions and notation and aims to help them gain confidence in doing Bayesian statistics.
Format: Hardback
Length: 272 pages
Publication date: 06 December 2021
Publisher: SAGE Publications Ltd
This comprehensive book takes you on a journey into the world of probability and statistics, offering a unique Bayesian perspective. It begins with an introduction to probability theory and progresses to provide robust frameworks for rigorous probability calculations. It delves into the fascinating realm of Bayes Theorem, showcasing its applications across diverse social and psychological domains.
Furthermore, the book equips you with essential coding skills in the statistical modelling language Stan and the programming language R. It explores the contrasts between Bayesian and classical statistical approaches, introducing Markov Chain Monte Carlo methods for conducting Bayesian statistics through computer simulations.
To aid your learning, the book includes an introduction to each chapter and a chapter summary to reinforce your understanding. Additionally, all the examples and data utilized in the book are readily accessible through online resources, allowing you to practice at your own pace. Whether you have a solid foundation in basic mathematical functions and notation or are new to the field, this book will empower you to confidently embark on your journey into Bayesian statistics.
Weight: 710g
Dimension: 232 x 186 (mm)
ISBN-13: 9781529768619
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