Sparse Fréchet sufficient dimension reduction with graphical structure among predictors
Abstract Fréchet regression has received considerable attention to model metric‐space valued responses that are complex and non‐Euclidean data, such as probability distributions and vectors on the unit sphere. However, existing Fréchet regression literature focuses on the classical setting where the predictor dimension is fixed, and the sample size ...
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