Introduction to Bayesian Estimation and Copula Models of Dependence, 1st Edition
$298.32
- Hardcover
352 pages
- Release Date
9 March 2017
Summary
Mastering Bayesian Estimation and Copula Models for Dependence
Presents an introduction to Bayesian statistics, with an emphasis on Bayesian methods (prior and posterior), Bayes estimation, prediction, MCMC, Bayesian regression, and Bayesian analysis of statistical models of dependence, and features a focus on copulas for risk management
Introduction to Bayesian Estimation and Copula Models of Dependence emphasizes the applications of Bayesian analy…
Book Details
| ISBN-13: | 9781118959015 |
|---|---|
| ISBN-10: | 1118959019 |
| Author: | Arkady Shemyakin, Alexander Kniazev |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | John Wiley & Sons Inc |
| Format: | Hardcover |
| Number of Pages: | 352 |
| Edition: | 1st |
| Release Date: | 9 March 2017 |
| Weight: | 590g |
| Dimensions: | 239mm x 158mm x 25mm |
About The Author
Arkady Shemyakin
ARKADY SHEMYAKIN, PhD, is Professor in the Department of Mathematics and Director of the Statistics Program at the University of St. Thomas. A member of the American Statistical Association and the International Society for Bayesian Analysis, Dr. Shemyakin’s research interests include information theory, Bayesian methods of parametric estimation, and copula models in actuarial mathematics, finance, and engineering.
ALEXANDER KNIAZEV, PhD, is Associate Professor and Head of the Department of Mathematics at Astrakhan State University in Russia. Dr. Kniazev’s research interests include representation theory of Lie algebras and finite groups, mathematical statistics, econometrics, and financial mathematics.
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