Bayesian Methods: A Social and Behavioral Sciences Approach

Bayesian Methods: A Social and Behavioral Sciences Approach

2002 | Jeff Gill
The book "Bayesian Methods: A Social and Behavioral Sciences Approach" by Jeff Gill is a comprehensive guide to Bayesian statistical methods, tailored for social and behavioral scientists. It bridges the gap between standard maximum likelihood inference and Bayesian methods, emphasizing their practical application. The book covers the theoretical foundations, including likelihood theory, the generalized linear model, and numerical estimation algorithms. It also delves into Bayesian thinking, updating prior knowledge with new data to form the posterior distribution, and discusses various models such as the normal and Student's t models. The author provides detailed explanations and examples, focusing on the practical implementation of Bayesian methods. The book includes chapters on Monte Carlo methods, Markov Chain Monte Carlo (MCMC), hierarchical models, and computational techniques using R and BUGS. It aims to make Bayesian methods accessible and applicable to social and behavioral scientists, providing a gentle yet rigorous approach to the subject.The book "Bayesian Methods: A Social and Behavioral Sciences Approach" by Jeff Gill is a comprehensive guide to Bayesian statistical methods, tailored for social and behavioral scientists. It bridges the gap between standard maximum likelihood inference and Bayesian methods, emphasizing their practical application. The book covers the theoretical foundations, including likelihood theory, the generalized linear model, and numerical estimation algorithms. It also delves into Bayesian thinking, updating prior knowledge with new data to form the posterior distribution, and discusses various models such as the normal and Student's t models. The author provides detailed explanations and examples, focusing on the practical implementation of Bayesian methods. The book includes chapters on Monte Carlo methods, Markov Chain Monte Carlo (MCMC), hierarchical models, and computational techniques using R and BUGS. It aims to make Bayesian methods accessible and applicable to social and behavioral scientists, providing a gentle yet rigorous approach to the subject.
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[slides and audio] Bayesian Methods %3A A Social and Behavioral Sciences Approach