Bayesian Probability Theory

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Synopsis
From the basics to the forefront of modern research, this book presents all aspects of probability theory, statistics and data analysis from a Bayesian perspective for physicists and engineers. The book presents the roots, applications and numerical implementation of probability theory, and covers advanced topics such as maximum entropy distributions, stochastic processes, parameter estimation, model selection, hypothesis testing and experimental design. In addition, it explores state-of-the art numerical techniques required to solve demanding real-world problems. The book is ideal for students and researchers in physical sciences and engineering.
Copyright:
2014

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9781139949293
Publisher:
Cambridge University Press
Date of Addition:
Copyrighted By:
Wolfgang Von Der Linden, Volker Dose, Udo Von Toussaint
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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