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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.




Bayesian Inference In The Social Sciences


Author : Ivan Jeliazkov
language : en
Publisher: John Wiley & Sons
Release Date : 2014-11-04


PDF Download Bayesian Inference In The Social Sciences Books For free written by Ivan Jeliazkov 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 2014-11-04 with Mathematics categories.


Presents new models, methods, and techniques and considersimportant real-world applications in political science, sociology,economics, marketing, and finance Emphasizing interdisciplinary coverage, Bayesian Inferencein the Social Sciences builds upon the recent growth inBayesian methodology and examines an array of topics in modelformulation, estimation, and applications. The book presents recentand trending developments in a diverse, yet closely integrated, setof research topics within the social sciences and facilitates thetransmission of new ideas and methodology across disciplines whilemaintaining manageability, coherence, and a clear focus. Bayesian Inference in the Social Sciences featuresinnovative methodology and novel applications in addition to newtheoretical developments and modeling approaches, including theformulation and analysis of models with partial observability,sample selection, and incomplete data. Additional areas of inquiryinclude a Bayesian derivation of empirical likelihood and method ofmoment estimators, and the analysis of treatment effect models withendogeneity. The book emphasizes practical implementation, reviewsand extends estimation algorithms, and examines innovativeapplications in a multitude of fields. Time series techniques andalgorithms are discussed for stochastic volatility, dynamic factor,and time-varying parameter models. Additional featuresinclude: Real-world applications and case studies that highlight assetpricing under fat-tailed distributions, price indifference modelingand market segmentation, analysis of dynamic networks, ethnicminorities and civil war, school choice effects, and businesscycles and macroeconomic performance State-of-the-art computational tools and Markov chain MonteCarlo algorithms with related materials available via thebook’s supplemental website Interdisciplinary coverage from well-known internationalscholars and practitioners Bayesian Inference in the Social Sciences is an ideal referencefor researchers in economics, political science, sociology, andbusiness as well as an excellent resource for academic, government,and regulation agencies. The book is also useful for graduate-levelcourses in applied econometrics, statistics, mathematical modelingand simulation, numerical methods, computational analysis, and thesocial sciences.

Bayesian Methods


Author : Jeff Gill
language : en
Publisher: CRC Press
Release Date : 2014-12-11


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 2014-12-11 with Mathematics categories.


An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details of the procedures and less on justifying procedures. The expanded examples reflect this updated approach. New to the Third Edition A chapter on Bayesian decision theory, covering Bayesian and frequentist decision theory as well as the connection of empirical Bayes with James–Stein estimation A chapter on the practical implementation of MCMC methods using the BUGS software Greatly expanded chapter on hierarchical models that shows how this area is well suited to the Bayesian paradigm Many new applications from a variety of social science disciplines Double the number of exercises, with 20 now in each chapter Updated BaM package in R, including new datasets, code, and procedures for calling BUGS packages from R This bestselling, highly praised text continues to be suitable for a range of courses, including an introductory course or a computing-centered course. It shows students in the social and behavioral sciences how to use Bayesian methods in practice, preparing them for sophisticated, real-world work in the field.

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 Theory And Methods With Applications


Author : Vladimir Savchuk
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-09-01


PDF Download Bayesian Theory And Methods With Applications Books For free written by Vladimir Savchuk 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 2011-09-01 with Mathematics categories.


Bayesian methods are growing more and more popular, finding new practical applications in the fields of health sciences, engineering, environmental sciences, business and economics and social sciences, among others. This book explores the use of Bayesian analysis in the statistical estimation of the unknown phenomenon of interest. The contents demonstrate that where such methods are applicable, they offer the best possible estimate of the unknown. Beyond presenting Bayesian theory and methods of analysis, the text is illustrated with a variety of applications to real world problems.