Bayesian hierarchical models with applications using R / by Peter D. Congdon, University of London, England.
| Author/creator | Congdon, P. |
| Format | Electronic |
| Edition | Second edition. |
| Publication Info | Boca Raton : CRC Press/Taylor & Francis Group, [2020] |
| Description | xii, 579 pages : illustrations ; 27 cm |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Uniform title | Applied Bayesian hierarchical methods |
| Abstract | "The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis, but now using entirely R based Bayesian computing options. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies. This latter chapter is particularly important, due to recent advances in Bayesian computing and estimation, including the development of rjags and rstan. It also features updates throughout with new examples"-- Provided by publisher. |
| General note | Revised edition of: Applied Bayesian hierarchical methods. c2010. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2019024162 |
| ISBN | 9781498785754 (hardback) |
| ISBN | (ebook) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |