Mon premier blog

Statistical decision theory and bayesian analysis by James O. Berger

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

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. 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 – the loss function should capture the “consequences” of making a given decision. This discussion also reminds me of some statistical debates, where many statisticians have argued the need for a decision-theoretic approach to analysis. 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 (Springer Series in Statistics) (Hardcover)by James O. Principles and Theory for Data Mining and Machine Learning. Statistical Analysis With Missing Data. Reminiscences of a Statistician. Link de Descarga:http://www.ebook-4download.com/2010/10/optimal-statistical-decisions-wiley-classics-library/. Statistical decision theory and Bayesian analysis.