Bayesian Probability Theory: Applications in the Physical Sciences

Research output: Book/ReportBookResearchpeer-review

Abstract

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.
Original languageEnglish
PublisherCambridge University Press
ISBN (Print)978-1-107-03590-4
Publication statusPublished - 1 Jun 2014

Fingerprint

Probability Theory
Maximum Entropy
Process Parameters
Hypothesis Testing
Numerical Techniques
Experimental design
Model Selection
Parameter Estimation
Stochastic Processes
Data analysis
Roots
Cover
Statistics
Engineering

Keywords

  • Mathematics / Applied, Mathematics / General, Mathematics / Probability Statistics / General, Science / Physics / General

Cite this

Bayesian Probability Theory: Applications in the Physical Sciences. / Linden, Wolfgang von der; Dose, Volker; Toussaint, Udo von.

Cambridge University Press, 2014.

Research output: Book/ReportBookResearchpeer-review

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