Authors:
- Expository accessible book, internationally known authors
- Includes supplementary material: sn.pub/extras
Part of the book series: Surveys and Tutorials in the Applied Mathematical Sciences (STAMS, volume 2)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
Reviews
From the reviews:
"This witty, erudite, and surprisingly practical book is made up of ten chapters. … A central topic of the book is the relationship between statistical inference and the inverse problems that define Bayesian (subjective) statistics. … This excellent book will be valuable to scientists of various stripes, statisticians, numerical analysts, those who work in image processing, and those who implement Bayesian belief nets." (George Hacken, ACM Computing Reviews, Vol. 49 (11), November, 2008)
"Introduction to Bayesian Scientific Computing is a 200-page, easily accessible, pleasant introduction fusing Bayesian approaches with numerical linear algebra methods for inverse problems … . What I like most about this book is the apparent enthusiasm of the authors and their genuine interest in explaining rather than showing off. This enthusiasm is contagious, and the result is very readable." (Uri Ascher, The Mathematical Intelligencer, Vol. 31 (1), 2009)
Authors and Affiliations
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Department of Mathematics, Case Western Reserve University, Cleveland
Daniela Calvetti
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Institute of Mathematics Helsinki University of Technology, Finland
Erkki Somersalo
Bibliographic Information
Book Title: An Introduction to Bayesian Scientific Computing
Book Subtitle: Ten Lectures on Subjective Computing
Authors: Daniela Calvetti, Erkki Somersalo
Series Title: Surveys and Tutorials in the Applied Mathematical Sciences
DOI: https://doi.org/10.1007/978-0-387-73394-4
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2007
Softcover ISBN: 978-0-387-73393-7Published: 26 November 2007
eBook ISBN: 978-0-387-73394-4Published: 20 November 2007
Series ISSN: 2199-4765
Series E-ISSN: 2199-4773
Edition Number: 1
Number of Pages: XIV, 202
Topics: Theory of Computation, Computational Science and Engineering, Statistics and Computing/Statistics Programs, Computational Mathematics and Numerical Analysis, Probability Theory and Stochastic Processes