Bayesian Computation with R
There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for stat...
Call Number: | Libro Electrónico |
---|---|
Main Author: | Albert, Jim (Author) |
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
New York, NY :
Springer New York : Imprint: Springer,
2009.
|
Edition: | 2nd ed. 2009. |
Series: | Use R!,
|
Subjects: | |
Online Access: | Texto Completo |
Similar Items
-
Bayesian Core: A Practical Approach to Computational Bayesian Statistics
by: Marin, Jean-Michel, et al.
Published: (2007) -
Bayesian Computation with R
by: Albert, Jim
Published: (2007) -
Multivariate Statistics: Exercises and Solutions /
by: Härdle, Wolfgang Karl, et al.
Published: (2007) -
Data Manipulation with R
by: Spector, Phil
Published: (2008) -
A SAS/IML Companion for Linear Models
by: Perrett, Jamis J.
Published: (2010)