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Monte Carlo Statistical Methods
TLDR
This new edition contains five completely new chapters covering new developments and has sold 4300 copies worldwide of the first edition (1999). Expand
Inferring population history with DIY ABC: a user-friendly approach to approximate Bayesian computation
TLDR
Key methods used in DIY ABC, a computer program for inference based on approximate Bayesian computation (ABC), in which scenarios can be customized by the user to fit many complex situations involving any number of populations and samples, are described. Expand
The Bayesian choice : from decision-theoretic foundations to computational implementation
TLDR
This paperback edition, a reprint of the 2001 edition, is a graduate-level textbook that introduces Bayesian statistics and decision theory and is a worthy successor to DeGroot's and Berger's earlier texts. Expand
Deviance information criteria for missing data models
The deviance information criterion (DIC) introduced by Spiegelhalteret al. (2002) is directly inspired by linear and generalised linear models,but it is not so naturally de ned for missing dataExpand
Bayesian Modeling Using WinBUGS
Preface. Acknowledgments. Acronyms. 1. Introduction to Bayesian inference. 1.1 Introduction: Bayesian modeling in the 21st century. 1.2 Definition of statistical models. 1.3 Bayes theorem. 1.4Expand
The Bayesian choice
TLDR
This paperback edition, a reprint of the 2001 edition, is a graduate-level textbook that introduces Bayesian statistics and decision theory and was awarded the 2004 DeGroot Prize for setting a new standard for modern textbooks dealing with Bayesian methods. Expand
Estimation of Finite Mixture Distributions Through Bayesian Sampling
SUMMARY A formal Bayesian analysis of a mixture model usually leads to intractable calculations, since the posterior distribution takes into account all the partitions of the sample. We presentExpand
Statistics for Spatio-Temporal Data
Monte Carlo Statistical Methods (Springer Texts in Statistics)
TLDR
It is possible to locate as well as download monte carlo statistical methods springer texts in statistics Book. Expand
Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction
TLDR
Technical aspects are not the focus of Principles of Applied Statistics, so this also explains why it does not dwell intently on nonparametric models. Expand
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