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Statistical decision theory and bayesian analysis
Statistical decision theory and bayesian analysis

Statistical decision theory and bayesian analysis. James O. Berger

Statistical decision theory and bayesian analysis


Statistical.decision.theory.and.bayesian.analysis.pdf
ISBN: 0387960988,9780387960982 | 316 pages | 8 Mb


Download Statistical decision theory and bayesian analysis



Statistical decision theory and bayesian analysis James O. Berger
Publisher: Springer




Van der Linde, ¡°Bayesian Measures of Model Complexity and Fit,¡± J. In a full Bayesian data analysis (with spatial data or not), a loss function should be specified that relates to the decision made from the results of the analysis ¨C the loss function should capture the ¡°consequences¡± of making a given decision. Statistical Inference Casella & Berger.pdf. Statistical Learning Theory vladinmir n Vapnik.pdf. "The outstanding strengths of the book are its topic coverage, references, exposition, examples and problem sets. Smith: Bayesian Theory (Wiley, New York, 1994). This discussion also reminds me of some statistical debates, where many statisticians have argued the need for a decision-theoretic approach to analysis. This book is an excellent addition to any mathematical statistician's library. Berger, Statistical Decision Theory and Bayesian Analysis, second ed. 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. Statistical Decision Theory and Bayesian Analysis James O Berger±´Ò¶Ë¹Í³¼Æ.djvu. 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. Berger: Statistical Decision Theory and Bayesian Analysis (Springer, New York, 1985) 2nd ed.

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