Statistical decision theory and bayesian analysis by James O. Berger

Statistical decision theory and bayesian analysis



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Statistical decision theory and bayesian analysis James O. Berger ebook
Format: djvu
ISBN: 0387960988, 9780387960982
Publisher: Springer
Page: 316


Statistical Decision Theory and Bayesian Analysis | SPSSGuide.com . While an innocuous theory, practical use of the Bayesian approach requires consideration of complex practical issues, including the source of the prior distribution, the choice of a likelihood function, computation and summary of the posterior . Berger Statistical Decision Theory and Bayesian Analysis. A special very important problem of the statistical machine learning is the classification problem which can be regarded as a task of classifying some objects into classes in accordance with their properties or features. For inference, a full report of the posterior distribution is the correct and final conclusion of a statistical analysis. However, this may be impractical, particularly when the posterior is high-dimensional. Normative decision theory describes how decisions should be made in order to accommodate a set of axioms believed to be desirable; descriptive decision theory deals with how people actually make decisions; and prescriptive .. Rational Models of Irrational Behavior; Arthur, W. One of the directions for developing the corresponding methods is the fuzzy classification which applies the main ideas of fuzzy set theory to various classification problems. Statistical decision theory and bayesian analysis book download Download Statistical decision theory and bayesian analysis Bayesian Inference in Statistical Analysis. Statistics for people who (think they ) hate statistics ; Introduction to Statistics and Data Analysis; Multilevel and Longitudinal Modeling With Spss . Brian, Designing Economic Agents that Act like Human Agents: A Behavioral Approach to Bounded Rationality; James O. Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers.