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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CINAR random fields extend INAR models by decoupling the marginal distribution (chosen from discrete self-decomposable laws) from the autoregressive dependence structure.
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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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A Class of Higher-Order INAR Random Fields for Poisson Counts and Beyond
CINAR random fields extend INAR models by decoupling the marginal distribution (chosen from discrete self-decomposable laws) from the autoregressive dependence structure.