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Bayesian Statistics For The Social Sciences


Author : David Kaplan
language : en
Publisher: Guilford Publications
Release Date : 2014-07-23


PDF Download Bayesian Statistics For The Social Sciences Books For free written by David Kaplan and has been published by Guilford Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-23 with Psychology categories.


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 Analysis For The Social Sciences


Author : Simon Jackman
language : en
Publisher: John Wiley & Sons
Release Date : 2009-10-27


PDF Download Bayesian Analysis For The Social Sciences Books For free written by Simon Jackman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-27 with Mathematics categories.


Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the subjective qualities of Bayesian methodology. This book provides an accessible introduction to Bayesian methods, tailored specifically for social science students. It contains lots of real examples from political science, psychology, sociology, and economics, exercises in all chapters, and detailed descriptions of all the key concepts, without assuming any background in statistics beyond a first course. It features examples of how to implement the methods using WinBUGS – the most-widely used Bayesian analysis software in the world – and R – an open-source statistical software. The book is supported by a Website featuring WinBUGS and R code, and data sets.

Bayesian Statistics For Social Scientists


Author : Lawrence D. Phillips
language : en
Publisher:
Release Date : 1974


PDF Download Bayesian Statistics For Social Scientists Books For free written by Lawrence D. Phillips and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with Mathematics categories.




Introduction To Applied Bayesian Statistics And Estimation For Social Scientists


Author : Scott M. Lynch
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-06-30


PDF Download Introduction To Applied Bayesian Statistics And Estimation For Social Scientists Books For free written by Scott M. Lynch and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-30 with Social Science categories.


This book outlines Bayesian statistical analysis in great detail, from the development of a model through the process of making statistical inference. The key feature of this book is that it covers models that are most commonly used in social science research - including the linear regression model, generalized linear models, hierarchical models, and multivariate regression models - and it thoroughly develops each real-data example in painstaking detail.

Bayesian Methods


Author : Jeff Gill
language : en
Publisher: CRC Press
Release Date : 2007-11-26


PDF Download Bayesian Methods Books For free written by Jeff Gill and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-26 with Mathematics categories.


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 science methodology. While the focus remains on practical modeling and basic theory as well as on intuitive explanations and derivations without skipping steps, this second edition incorporates the latest methodology and recent changes in software offerings. New to the Second Edition Two chapters on Markov chain Monte Carlo (MCMC) that cover ergodicity, convergence, mixing, simulated annealing, reversible jump MCMC, and coupling Expanded coverage of Bayesian linear and hierarchical models More technical and philosophical details on prior distributions A dedicated R package (BaM) with data and code for the examples as well as a set of functions for practical purposes such as calculating highest posterior density (HPD) intervals Requiring only a basic working knowledge of linear algebra and calculus, this text is one of the few to offer a graduate-level introduction to Bayesian statistics for social scientists. It first introduces Bayesian statistics and inference, before moving on to assess model quality and fit. Subsequent chapters examine hierarchical models within a Bayesian context and explore MCMC techniques and other numerical methods. Concentrating on practical computing issues, the author includes specific details for Bayesian model building and testing and uses the R and BUGS software for examples and exercises.

The Sage Handbook Of Quantitative Methodology For The Social Sciences


Author : David Kaplan
language : en
Publisher: SAGE
Release Date : 2004-06-21


PDF Download The Sage Handbook Of Quantitative Methodology For The Social Sciences Books For free written by David Kaplan and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-06-21 with Social Science categories.


The SAGE Handbook of Quantitative Methodology for the Social Sciences is the definitive reference for teachers, students, and researchers of quantitative methods in the social sciences, as it provides a comprehensive overview of the major techniques used in the field. The contributors, top methodologists and researchers, have written about their areas of expertise in ways that convey the utility of their respective techniques, but, where appropriate, they also offer a fair critique of these techniques. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter and makes this an invaluable resource.

Bayesian Inference In The Social Sciences


Author : Ivan Jeliazkov
language : en
Publisher: Wiley
Release Date : 2014-09-29


PDF Download Bayesian Inference In The Social Sciences Books For free written by Ivan Jeliazkov and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-29 with Mathematics categories.