---
res:
  bibo_abstract:
  - Causal optimal transport and adapted Wasserstein distance have applications in
    different fields from optimization to mathematical finance and machine learning.
    The goal of this article is to provide equivalent formulations of these concepts
    in classic probabilistic language. In particular, we prove a Skorokhod representation
    theorem for adapted weak convergence, reformulate the equivalence of stochastic
    processes using Markovian lifts, and give an expression for the adapted Wasserstein
    distance based on representing processes on a common stochastic basis.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Mathias
      foaf_name: Beiglböck, Mathias
      foaf_surname: Beiglböck
  - foaf_Person:
      foaf_givenName: Susanne
      foaf_name: Pflügl, Susanne
      foaf_surname: Pflügl
      foaf_workInfoHomepage: http://www.librecat.org/personId=8da18bd3-8437-11f1-a311-c814b8b76424
  - foaf_Person:
      foaf_givenName: Stefan
      foaf_name: Schrott, Stefan
      foaf_surname: Schrott
  bibo_doi: 10.1016/j.spa.2026.105032
  bibo_volume: 201
  dct_date: 2026^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/0304-4149
  dct_language: eng
  dct_publisher: Elsevier@
  dct_title: A probabilistic view on the adapted Wasserstein distance@
...