Bayesian Probability Theory Applications In The Physical Sciences
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Bayesian Probability Theory
Author: Wolfgang von der Linden
language: en
Publisher: Cambridge University Press
Release Date: 2014-06-12
Covering all aspects of probability theory, statistics and data analysis from a Bayesian perspective for graduate students and researchers.
Probability and Statistics in the Physical Sciences
This book, now in its third edition, offers a practical guide to the use of probability and statistics in experimental physics that is of value for both advanced undergraduates and graduate students. Focusing on applications and theorems and techniques actually used in experimental research, it includes worked problems with solutions, as well as homework exercises to aid understanding. Suitable for readers with no prior knowledge of statistical techniques, the book comprehensively discusses the topic and features a number of interesting and amusing applications that are often neglected. Providing an introduction to neural net techniques that encompasses deep learning, adversarial neural networks, and boosted decision trees, this new edition includes updated chapters with, for example, additions relating to generating and characteristic functions, Bayes’ theorem, the Feldman-Cousins method, Lagrange multipliers for constraints, estimation of likelihood ratios, and unfolding problems.
Probability Theory
Author: E. T. Jaynes
language: en
Publisher: Cambridge University Press
Release Date: 2003-04-10
Index.