Binary models for marginal independence

Binary models for marginal independence (2005)

by Mathias Drton , Thomas S. Richardson

Venue:	JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B
Citations:	13 - 1 self

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Datum	Value	Source
TITLE	Binary models for marginal independence	INFERENCE
AUTHOR NAME	Mathias Drton	user correction
AUTHOR AFFIL	University of California, Berkeley	user correction
AUTHOR NAME	Thomas S. Richardson	user correction
AUTHOR AFFIL	University of Washington	user correction
ABSTRACT	A number of authors have considered multivariate Gaussian models for marginal independence. In this paper we develop models for binary data with the same independence structure. The models can be parameterized based on Möbius inversion and maximum likelihood estimation can be performed using a version of the Iterated Conditional Fitting algorithm. The approach is illustrated on a simple example. Relations to multivariate logistic and dependence ratio models are discussed.	user correction
YEAR	2005	SVM HeaderParse 0.2
VENUE	JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B	user correction
VENUE TYPE	TECHREPORT	INFERENCE
TECH	Technical Report 474	INFERENCE
CITATIONS	40 found	ParsCit 1.0