Envelope models constitute a class of methods in multivariate regression that seek to identify and exploit a minimal subspace—termed the envelope—that contains all the variation of interest for ...
High-dimensional model selection in multivariate statistics addresses the challenge of choosing an appropriate statistical model when both the number of variables and the sample size can grow large ...
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