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- Title
Statistical Inference in Context Specific Interaction Models for Contingency Tables.
- Authors
Højsgaard, Søren
- Abstract
Context specific interaction models is a class of interaction models for contingency tables in which interaction terms are allowed to vanish in specific contexts given by the levels of sets of variables. Such restrictions can entail conditional independencies which only hold for some values of the conditioning variables and allows also for irrelevance of some variables in specific contexts. A Markov property is established and so is an iterative proportional scaling algorithm for maximum likelihood estimation. Decomposition of the estimation problem is treated and model selection is discussed.
- Subjects
CONTINGENCY tables; MATHEMATICAL models; MATHEMATICS; GRAPH theory; ITERATIVE methods (Mathematics); MARKOV processes
- Publication
Scandinavian Journal of Statistics, 2004, Vol 31, Issue 1, p143
- ISSN
0303-6898
- Publication type
Article
- DOI
10.1111/j.1467-9469.2004.00378.x