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math.ST2014
Directionally collapsible parameterizations of multivariate binary distributions
Tamas Rudas
Odds ratios and log-linear parameters are not collapsible, meaning that including a variable into the analysis or omitting one from it, may change the strength of association among…
stat.ME2014
Faithfulness and learning hypergraphs from discrete distributions
Anna Klimova, Caroline Uhler, Tamas Rudas
The concepts of faithfulness and strong-faithfulness are important for statistical learning of graphical models. Graphs are not sufficient for describing the association structure…