A Bayesian CP tensor factorization model with Poisson rate for occurrence and conditional Gamma for magnitude, with slice-specific dispersion, applied to 60 million international trade flows to recover multiway dependencies.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Regional fitness from bipartite patent networks positively predicts subsequent GRP per capita growth in Japanese prefectures using fixed-effects panel models, with heterogeneity by initial income.
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Bayesian Poisson-Randomized Gamma Tensor Factorization with Application to International Trade Flows
A Bayesian CP tensor factorization model with Poisson rate for occurrence and conditional Gamma for magnitude, with slice-specific dispersion, applied to 60 million international trade flows to recover multiway dependencies.
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Technological Fitness and Regional Growth in Japan
Regional fitness from bipartite patent networks positively predicts subsequent GRP per capita growth in Japanese prefectures using fixed-effects panel models, with heterogeneity by initial income.