Introduction to Bayesian Analysis
1st Edition
Published on 14. November 2022
Book
Paperback/Softback
978-1-5264-2817-2 (ISBN)
Description
Bayesian statistics is becoming increasingly popular in a variety of disciplines, as technology catches up with the theory. This book highlights the varieties of Bayesian analysis available to researchers and offers practical advice on how to apply these methods to your data. Topics include:
? Statistical inference and estimation principles from a Bayesian perspective
? Simulation methods for Bayesian statistics
? Multivariate and Multilevel models
? Using Stan software
Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
? Statistical inference and estimation principles from a Bayesian perspective
? Simulation methods for Bayesian statistics
? Multivariate and Multilevel models
? Using Stan software
Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
More details
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 242 mm
Width: 170 mm
ISBN-13
978-1-5264-2817-2 (9781526428172)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Person
Mel Slater is a Distinguished Investigator at the University of Barcelona, and co-Director of the Event Lab (Experimental Virtual Environments for Neuroscience and Technology). He was previously Professor of Virtual Environments at University College London (UCL) in the Department of Computer Science. He was awarded the 2005 IEEE Virtual Reality Career Award: 'In Recognition of Pioneering Achievements in Theory and Applications of Virtual Reality'.
He is Field Editor of Frontiers in Virtual Reality, and Chief Editor of the Human Behaviour in VR section. He was awarded the Humboldt Research Prize from Germany in 2020. He is a Fellow of the Royal Statistical Society.
He is Field Editor of Frontiers in Virtual Reality, and Chief Editor of the Human Behaviour in VR section. He was awarded the Humboldt Research Prize from Germany in 2020. He is a Fellow of the Royal Statistical Society.
Content
Introduction
A brief review of the necessary probability distributions and their relationships
Statistical inference and estimation principles
Simulation methods for Bayesian statistics
The general linear model - Regression analysis.
The exponential family
Multivariate and Multilevel models
Using Stata and JAGS for Bayesian Statistics
A brief review of the necessary probability distributions and their relationships
Statistical inference and estimation principles
Simulation methods for Bayesian statistics
The general linear model - Regression analysis.
The exponential family
Multivariate and Multilevel models
Using Stata and JAGS for Bayesian Statistics