Bayesian Evaluation of Informative Hypotheses

Bayesian Evaluation of Informative Hypotheses by Herbert Hoijtink, published by Springer New York on October 6, 2008, is a comprehensive examination of advancements in Bayesian evaluation of informative hypotheses since the early 2000s. This edition spans 361 pages and is presented in English, offering insights into the developments discussed during a workshop held in Utrecht in June 2007.
Readers will find a thorough overview of the current state of Bayesian evaluation, focusing on its applications in social science and statistics. The book highlights contributions from various authors, reflecting a collaborative effort to explore model selection using Bayes factors and related statistical methods. This work serves as a significant resource for researchers interested in the intersection of Bayesian statistics and hypothesis evaluation.
Official synopsis Publisher
This book provides an overview of the developments in the area of Bayesian evaluation of informative hypotheses that took place since the publication of the ?rst paper on this topic in 2001 [Hoijtink, H. Con?rmatory latent class analysis, model selection using Bayes factors and (pseudo) likelihood ratio statistics. Multivariate Behavioral Research, 36, 563–588]. The current state of a?airs was presented and discussed by the authors of this book during a workshop in Utrecht in June 2007. Here we would like to thank all authors for their participation, ideas, and contributions. We would also like to thank Sophie van der Zee for her editorial e?orts during the construction of this book. Another word of thanks is due to John Kimmel of Springer for his con?dence in the editors and authors. Finally, we would like to thank the Netherlands Organization for Scienti?c Research (NWO) whose VICI grant (453-05-002) awarded to the ?rst author enabled the organization of the workshop, the writing of this book, and continuation of the research with respect to Bayesian evaluation of informative hypotheses.
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