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.

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Yes, you can access Bayesian Probability Theory by Wolfgang von der Linden,Volker Dose,Udo von Toussaint in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Cambridge University Press

Year

2014

ISBN

9781139950343

Topic

Mathematics

Subtopic

Mathematics General

Index

Mathematics

Cover
Half Title
Title Page
Copyright
Contents
Preface
PART I Introduction
PART II Assigning probabilities
PART III Parameter estimation
PART IV Testing hypotheses
PART V Real-world applications
PART VI Probabilistic Numerical Techniques
Appendix A Mathematical compendium
Appendix B Selected proofs and derivations
Appendix C Symbols and notation
References
Index