Introduces TSBM, a new Bayesian model for directed networks that enforces ordered blocks via transitivity-inducing priors on directional imbalance and jointly infers block count with an age-ordered partition prior.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pairwise reference alignment is formulated as an ordinal observable equal to the probability that a model score agrees with reference preferences on triples (x, y+, y-), with centered statistics, margin extensions, estimators, and concentration bounds.
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Ordering Stochastic Block Models via prior transitivity
Introduces TSBM, a new Bayesian model for directed networks that enforces ordered blocks via transitivity-inducing priors on directional imbalance and jointly infers block count with an age-ordered partition prior.
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Pairwise Reference Alignment as a Model-Level Ordinal Observable
Pairwise reference alignment is formulated as an ordinal observable equal to the probability that a model score agrees with reference preferences on triples (x, y+, y-), with centered statistics, margin extensions, estimators, and concentration bounds.