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Slater Mel
Slater Mel - Bayesian Methods In Statistics From Concepts To Practice - Paperback
Slater Mel - Bayesian Methods In Statistics From Concepts To Practice - Paperback
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Binding: Paperback
Description: 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 Bayes 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.
Title: Bayesian Methods In Statistics From Concepts To Practice
Author(s): Slater Mel
Publisher: Sage Publications Ltd
Barcode: 9781529768602
Pages: 272 Pages
Publication Date: 11/27/2021
Category: Bayesian Inference
Description: 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 Bayes 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.
Title: Bayesian Methods In Statistics From Concepts To Practice
Author(s): Slater Mel
Publisher: Sage Publications Ltd
Barcode: 9781529768602
Pages: 272 Pages
Publication Date: 11/27/2021
Category: Bayesian Inference
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