We propose an extension of graphical log-linear models to allow for symmetry constraints on some interaction parameters that represent homologous factors. The conditional independence structure of ...
We use reversible jump Markov chain Monte Carlo methods (Green, 1995) to develop strategies for calculating posterior probabilities of hierarchical, graphical or decomposable log-linear models for ...
G raphical programming isn't new. Yet significant improvements in visual architecture, development-tool user interfaces, and compilation to hardware and software targets have moved graphical ...
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