EconPapers    
Economics at your fingertips  
 

Bayesian Computation with R

Jim Albert ()

in Springer Books from Springer

Date: 2009
ISBN: 978-0-387-92298-0
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Chapters in this book:

Ch 1 An Introduction to R
Jim Albert
Ch 2 Introduction to Bayesian Thinking
Jim Albert
Ch 3 Single-Parameter Models
Jim Albert
Ch 4 Multiparameter Models
Jim Albert
Ch 5 Introduction to Bayesian Computation
Jim Albert
Ch 6 Markov Chain Monte Carlo Methods
Jim Albert
Ch 7 Hierarchical Modeling
Jim Albert
Ch 8 Model Comparison
Jim Albert
Ch 9 Regression Models
Jim Albert
Ch 10 Gibbs Sampling
Jim Albert
Ch 11 Using R to Interface with WinBUGS
Jim Albert

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-0-387-92298-0

Ordering information: This item can be ordered from
http://www.springer.com/9780387922980

DOI: 10.1007/978-0-387-92298-0

Access Statistics for this book

More books in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-21
Handle: RePEc:spr:sprbok:978-0-387-92298-0