This book is devoted to a special class of engineering problems called Bayesian inverse problems. These problems comprise not only the probabilistic Bayesian formulation of engineering problems, but also the associated stochastic simulation methods needed to solve them. Through this book, the reader will learn how this class of methods can be useful to rigorously address a range of engineering problems where empirical data and fundamental knowledge come into play. The book is written for a non-expert audience and it is contributed to by many of the most renowned academic experts in this field.

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Yes, you can access Bayesian Inverse Problems by Juan Chiachio-Ruano, Manuel Chiachio-Ruano, Shankar Sankararaman in PDF and/or ePUB format, as well as other popular books in Mathématiques & Probabilités et statistiques. We have over one million books available in our catalogue for you to explore.

Information

Publisher

CRC Press

Year

2021

ISBN

9781351869652

Edition

Topic

Mathématiques

Subtopic

Probabilités et statistiques

Cover
Title Page
Copyright Page
Dedication
Preface
Table of Contents
Preface
List of Figures
List of Tables
Contributors
Part I Fundamentals
Part II Engineering Applications
Appendices
Bibliography
Index