EconPapers    
Economics at your fingertips  
 

Recursions on the marginals and exact computation of the normalizing constant for Gibbs processes

Cécile Hardouin () and Xavier Guyon

Computational Statistics, 2014, vol. 29, issue 6, 1637-1650

Abstract: This paper presents different recursive formulas for computing the marginals and the normalizing constant of a Gibbs distribution $$\pi $$ π . The common thread is the use of the underlying Markov properties of such processes. The procedures are illustrated with several examples, particularly the Ising model. Copyright Springer-Verlag Berlin Heidelberg 2014

Keywords: Gibbs distribution; Marginal laws; Normalizing constant (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1007/s00180-014-0510-5 (text/html)
Access to full text is restricted to subscribers.

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:compst:v:29:y:2014:i:6:p:1637-1650

Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/180/PS2

DOI: 10.1007/s00180-014-0510-5

Access Statistics for this article

Computational Statistics is currently edited by Wataru Sakamoto, Ricardo Cao and Jürgen Symanzik

More articles in Computational Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:compst:v:29:y:2014:i:6:p:1637-1650