Wasserstein projection onto displacement-convex sets yields a convex optimization approach to shape-constrained univariate density estimation for non-increasing and log-concave cases, with structural properties and a discretizable implementation.
On minimax density estimation via measure transport
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
A systematic survey of optimal experimental design covering criteria formulations, estimation and optimization methods, and emerging sequential design policies.
citing papers explorer
-
Shape-constrained density estimation with Wasserstein projection
Wasserstein projection onto displacement-convex sets yields a convex optimization approach to shape-constrained univariate density estimation for non-increasing and log-concave cases, with structural properties and a discretizable implementation.
-
Optimal experimental design: Formulations and computations
A systematic survey of optimal experimental design covering criteria formulations, estimation and optimization methods, and emerging sequential design policies.