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Mathematics > Statistics Theory

Title: Estimation of Stationary Optimal Transport Plans

Abstract: We study optimal transport for stationary stochastic processes taking values in finite spaces. In order to reflect the stationarity of the underlying processes, we restrict attention to stationary couplings, also known as joinings. The resulting optimal joining problem captures differences in the long run average behavior of the processes of interest. We introduce estimators of both optimal joinings and the optimal joining cost, and we establish consistency of the estimators under mild conditions. Furthermore, under stronger mixing assumptions we establish finite-sample error rates for the estimated optimal joining cost that extend the best known results in the iid case. Finally, we extend the consistency and rate analysis to an entropy-penalized version of the optimal joining problem.
Subjects: Statistics Theory (math.ST); Dynamical Systems (math.DS); Machine Learning (stat.ML)
Cite as: arXiv:2107.11858 [math.ST]
  (or arXiv:2107.11858v2 [math.ST] for this version)

Submission history

From: Kevin O'Connor [view email]
[v1] Sun, 25 Jul 2021 17:46:21 GMT (509kb)
[v2] Fri, 10 Dec 2021 15:43:57 GMT (565kb)

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