EconPapers    
Economics at your fingertips  
 

Generalized graphical models for discrete data

Jozef L. Teugels and Johan Van Horebeek

Statistics & Probability Letters, 1998, vol. 38, issue 1, 41-47

Abstract: Traditional graphical models are extended by allowing that the presence or absence of a connection between two nodes depends on the values of the remaining variables. We first compare the extended model to the classical log-linear model. After discussing the induced consistency problem we illustrate the corresponding estimation problem by way of an example.

Keywords: Graphical; model; Conditional; independency; Markov; random; field; Log-linear; model (search for similar items in EconPapers)
Date: 1998
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(97)00152-1
Full text for ScienceDirect subscribers only

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:eee:stapro:v:38:y:1998:i:1:p:41-47

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:stapro:v:38:y:1998:i:1:p:41-47