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

In the objectivist stream, the statistical analysis depends on only the model assumed and the data analysed. Statistical Decision Theory and Bayesian Analysis ISBN: 0387960988 | edition 1985 | File type: PDF | 624 pages | 20,3 mb. Statistical Analysis With Missing Data. No subjective decisions need to be involved. Numerical Analysis for Statisticians. In contrast, "subjectivist" statisticians deny the Justification of Bayesian probabilities. ȴ叶斯: Statistical Decision Theory and Bayesian Analysis James O. Reminiscences of a Statistician. The value of the loss function itself is a random quantity because it depends on the outcome of a random variable X. Series: Springer Texts in Statistics. And analysis that are collected together. Berger, amazon.com/gp/product/1441930744. Smoothing Spline ANOVA Models (Springer Series in Statistics. Berger The Bayesian Choice : From Decision-Theoretic Foundations to Computational I mplementation. (Springer Series in Statistics) [Hardcover. Statistical Decision Theory and Bayesian Analysis. The use of Bayesian probabilities as the basis of Bayesian inference has been supported by several arguments, such as the Cox axioms, the Dutch book argument, arguments based on decision theory and de Finetti's theorem. Principles and Theory for Data Mining and Machine Learning. I'll recommend a book I find canonical that covers the philosophical and practical problems of hypothesis testing quite well and in depth: Statistical Decision Theory and Bayesian Analysis by J.O.