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.
Effects of early patent publication on knowledge dissemination: Evidence from U.S
2 Pith papers cite this work. Polarity classification is still indexing.
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AI adoption proxies from text and patents improve out-of-sample distress prediction in Chinese firms when machine learning models use temporally pruned recent training windows.
citing papers explorer
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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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Forecasting financial distress in dynamic environments AI adoption signals and temporally pruned training windows
AI adoption proxies from text and patents improve out-of-sample distress prediction in Chinese firms when machine learning models use temporally pruned recent training windows.