Abstract
Fréchet regression is an extension of classical regression to study the relationship between a metric space-valued response and Euclidean predictors. In this paper, we propose a Fréchet kernel sliced inverse regression to perform sufficient dimension reduction for Fréchet regression and prove its consistency. Simulation examples and a real data example are used to illustrate its superb finite-sample performance.
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