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Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critiques statistical analysis from a Bayesian perspective. Changes in the new edition include: added material on how Bayesian methods are connected to other approaches, stronger focus on MCMC, added chapter on further computation topics, more examples, and additional chapters on current models for Bayesian data analysis such as equation models, generalized linear mixed models, and more. The book is an introductory text and a reference for working scientists throughout their professional life.
Mathematical statistics --- Bayesian statistical decision theory --- 519.22 --- 57.087.1 --- 519.542 --- Bayesian statistical decision theory. --- Bayes' solution --- Bayesian analysis --- Statistical decision --- Statistical theory. Statistical models. Mathematical statistics in general --- Biometry. Statistical study and treatment of biological data --- Methoden en technieken --- statistiek --- 57.087.1 Biometry. Statistical study and treatment of biological data --- 519.22 Statistical theory. Statistical models. Mathematical statistics in general --- statistiek. --- Statistiek. --- Analyse des données --- Statistique bayésienne
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519.22 --- 519.22 Statistical theory. Statistical models. Mathematical statistics in general --- Statistical theory. Statistical models. Mathematical statistics in general --- AA / International- internationaal --- 303.6 --- Raming : theorie (wiskundige statistiek). Bayesian analysis and inference. --- Stochastic processes --- Mathematical statistics --- Bayesian statistical decision theory. --- Mathematical statistics. --- Statistique bayésienne. --- Monograph --- Raming : theorie (wiskundige statistiek). Bayesian analysis and inference
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