A new regression framework models scalar responses against functional tensor covariates using low Tucker rank and spline smoothness, with a provably quadratically convergent Riemannian Gauss-Newton algorithm.
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Functional Tensor Regression
A new regression framework models scalar responses against functional tensor covariates using low Tucker rank and spline smoothness, with a provably quadratically convergent Riemannian Gauss-Newton algorithm.