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Relational models for contingency tables
Contingency tables curved exponential family expo-nential family generalized odds ratios maximum likelihood estimate multiplicative model
2011/3/24
The paper considers general multiplicative models for complete and incomplete contingency tables that generalize log-linear and several other models and are entirely coordinate free. Sufficient condit...
Minimal and minimal invariant Markov bases of decomposable models for contingency tables
chordal graph Grobner bases independence graph invariance minimality symmetric group
2010/4/26
We study Markov bases of decomposable graphical models consisting of primitive moves (i.e.,
square-free moves of degree two) by determining the structure of fibers of sample size two.
We show that t...
Decomposing Independence Model Using Collapsed Tables for Contingency Tables Having Ordered Categories
Decomposing Independence Model Collapsed Tables Contingency Tables
2009/9/17
Decomposing Independence Model Using Collapsed Tables for Contingency Tables Having Ordered Categories。
New Tests of Spatial Segregation Based on Nearest Neighbor Contingency Tables
Association spatial clustering complete spatial randomness independence nearest neighbor methods
2010/4/30
The spatial clustering of points from two or more classes (or species) has important implications in many fields and may cause the spatial patterns of segregation and association, which are two major ...
Directional Clustering Tests Based on Nearest Neighbor Contingency Tables
Association clustering complete spatial randomness independence random labeling spatialpattern
2010/3/18
Spatial interaction between two or more classes or species has important implications in various fields and causes multivariate patterns such as segregation or association. Segregation occurs when mem...
Algebraic Bayesian analysis of contingency tables with possibly zero-probability cells
Algebraic statistics Bayes factor Compatible priors Exponential family Log-linear model Model-instance
2010/4/27
In this paper we consider a Bayesian analysis of contingency tables allowing
for the possibility that cells may have probability zero. In this sense we
depart from standard log-linear modeling that ...