This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application point of view. It further describes parametric and nonparametric Bayesian methods for modelling and how to use modern computational methods to summarize inferences using simulation. The book covers wide range of topics including objective and subjective Bayesian inferences with a variety of applications in modelling categorical, survival, spatial, spatiotemporal, Epidemiological, software reliability, small area and micro array data.
The book concludes with a chapter on how to teach Bayesian thoughts to nonstatisticians.
| ISBN: | 9780444515391 |
| Publication date: | 29th November 2005 |
| Author: | Dipak Dey, C Radhakrishna Rao |
| Publisher: | North Holland an imprint of Elsevier Science |
| Format: | Hardback |
| Pagination: | 1041 pages |
| Series: | Handbook of Statistics |
| Genres: |
Probability and statistics |
This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application point of view. It further describes parametric and nonparametric Bayesian methods for modelling and how to use modern computational methods to summarize inferences using simulation.
Bayesian Thinking features in the following genres: Probability and statistics
Hardback. Not Available.
Bayesian Thinking was written by Dipak Dey, C Radhakrishna Rao and published by North Holland an imprint of Elsevier Science
Bayesian Thinking has 1,041 pages
Yes it is part of Handbook of Statistics series