Wasserstein least squares extends Euclidean least squares to distribution-valued responses via convex analysis, yielding n^{-1/2} rates under template deformation and faster barycenter rates than prior work.
Peter Hall , functional data analysis and random objects
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Introduces a nonparametric distributional DiD test that transports control-group drift via optimal transport to build a counterfactual and uses an RKHS MMD statistic to test equality.
citing papers explorer
-
Wasserstein Least Squares: A Canonical Regression Method for Probability Distributions
Wasserstein least squares extends Euclidean least squares to distribution-valued responses via convex analysis, yielding n^{-1/2} rates under template deformation and faster barycenter rates than prior work.
-
A Test for Treatment Heterogeneity under a Distributional Difference-in-Difference Framework
Introduces a nonparametric distributional DiD test that transports control-group drift via optimal transport to build a counterfactual and uses an RKHS MMD statistic to test equality.