A linked Tucker tensor factorization enables a joint individualized hurdle-ordinal regression model that uncovers spatially heterogeneous effects of fluoride and diet on paired caries and fluorosis outcomes.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Parameters from statistical reconstruction of Itô process coefficients via normal mixture separation improve autoregressive time series prediction.
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Linked-Tucker Factorized Individualized Regression for Paired Multivariate Categorical Outcomes
A linked Tucker tensor factorization enables a joint individualized hurdle-ordinal regression model that uncovers spatially heterogeneous effects of fluoride and diet on paired caries and fluorosis outcomes.
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Extraction of informative statistical features in the problem of forecasting time series generated by It{\^{o}}-type processes
Parameters from statistical reconstruction of Itô process coefficients via normal mixture separation improve autoregressive time series prediction.