Bayesian Analysis for the Social Sciences by Simon Jackman
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.-
Introductory Statistics for Business and Economics
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Applied Longitudinal Analysis
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Applied Econometric Times Series
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Sample Size Determination and Power
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Statistical Methods for Survival Data Analysis
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An Elementary Introduction to Statistical Learning Theory
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The Statistical Analysis of Failure Time Data
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Regression Models for Time Series Analysis
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Statistical Rules of Thumb
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Bayesian Theory
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Graphical Models in Applied Multivariate Statistics
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Loss Models
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Introduction to Linear Regression Analysis
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Aspects of Multivariate Statistical Theory
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Fundamentals of Queueing Theory
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Statistics of Extremes
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Applied Econometric Time Series
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Structural Equations with Latent Variables
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Applied Linear Regression
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Directional Statistics
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An Introduction to Probability Theory and Its Applications, Volume 2
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System Reliability Theory
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An Introduction to Categorical Data Analysis
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Markov Decision Processes
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Applied Logistic Regression
“This is a comprehensive text on applied Bayesian statisticsThough it is primarily aimed at social scientists with strong computational and statistical backgrounds, its scope should appeal to a wider readership. I recommend it to anybody interested in actually applying Bayesian methods.” (Significance, 1 June 2010)
"As in many texts, each chapter ends with a collection of exercises which would make this text suitable for teaching a one-semester course in Bayesian methods with applications in the social sciences . . . with this small caveat, I was impressed with the text and believe it would be a worthy candidate for a first Bayesian courses that gives the student a balanced view of the theory and practice of Bayesian thinking." (The American Statistician, 1 February 2011)
Simon Jackman is a political scientist by trade but has a tremendous amount of experience in using Bayesian methods for solving problems in the social and political sciences, and teaching Bayesian methods to social science students.
| SKU | Unavailable |
| ISBN 13 | 9780470011546 |
| ISBN 10 | 0470011548 |
| Title | Bayesian Analysis for the Social Sciences |
| Author | Simon Jackman |
| Series | Wiley Series In Probability And Statistics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | John Wiley & Sons Inc |
| Year published | 2009-10-23 |
| Number of pages | 608 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |