Bayesian Statistics for the Social Sciences

Bayesian Statistics for the Social Sciences
Author :
Publisher : Guilford Publications
Total Pages : 337
Release :
ISBN-10 : 9781462516513
ISBN-13 : 1462516513
Rating : 4/5 (513 Downloads)

Book Synopsis Bayesian Statistics for the Social Sciences by : David Kaplan

Download or read book Bayesian Statistics for the Social Sciences written by David Kaplan and published by Guilford Publications. This book was released on 2014-07-23 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and practical skills they need to apply Bayesian methodologies to their data analysis problems. Part I addresses the elements of Bayesian inference, including exchangeability, likelihood, prior/posterior distributions, and the Bayesian central limit theorem. Part II covers Bayesian hypothesis testing, model building, and linear regression analysis, carefully explaining the differences between the Bayesian and frequentist approaches. Part III extends Bayesian statistics to multilevel modeling and modeling for continuous and categorical latent variables. Kaplan closes with a discussion of philosophical issues and argues for an "evidence-based" framework for the practice of Bayesian statistics. User-Friendly Features *Includes worked-through, substantive examples, using large-scale educational and social science databases, such as PISA (Program for International Student Assessment) and the LSAY (Longitudinal Study of American Youth). *Utilizes open-source R software programs available on CRAN (such as MCMCpack and rjags); readers do not have to master the R language and can easily adapt the example programs to fit individual needs. *Shows readers how to carefully warrant priors on the basis of empirical data. *Companion website features data and code for the book's examples, plus other resources.

Bayesian Statistics for the Social Sciences Related Books

Bayesian Statistics for the Social Sciences
Language: en
Pages: 337
Authors: David Kaplan
Categories: Psychology
Type: BOOK - Published: 2014-07-23 - Publisher: Guilford Publications

GET EBOOK

Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and practical skills they nee
Bayesian Analysis for the Social Sciences
Language: en
Pages: 598
Authors: Simon Jackman
Categories: Mathematics
Type: BOOK - Published: 2009-10-27 - Publisher: John Wiley & Sons

GET EBOOK

Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the subjective qualities of Bay
Bayesian Inference in the Social Sciences
Language: en
Pages: 266
Authors: Ivan Jeliazkov
Categories: Mathematics
Type: BOOK - Published: 2014-11-04 - Publisher: John Wiley & Sons

GET EBOOK

Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, and finance
Bayesian Statistics for the Social Sciences
Language: en
Pages: 338
Authors: David Kaplan
Categories: Psychology
Type: BOOK - Published: 2014-07-16 - Publisher: Guilford Publications

GET EBOOK

This book has been replaced by Bayesian Statistics for the Social Sciences, Second Edition, ISBN 978-1-4625-5354-9.
Bayesian Methods
Language: en
Pages: 696
Authors: Jeff Gill
Categories: Mathematics
Type: BOOK - Published: 2007-11-26 - Publisher: CRC Press

GET EBOOK

The first edition of Bayesian Methods: A Social and Behavioral Sciences Approach helped pave the way for Bayesian approaches to become more prominent in social