Generalized Wasserstein distance and weak convergence of sublinear expectations
classification
🧮 math.PR
keywords
distanceconvergenceexpectationsgeneralizedsublinearwassersteinweakborel
read the original abstract
In this paper, we define the generalized Wasserstein distance for sets of Borel probability measures and demonstrate that the weak convergence of sublinear expectations can be characterized by means of this distance.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.