Wasserstein Convergence Rate for Empirical Measures of Markov Processes

Authors

Feng‐Yu Wang (ORCID: https://orcid.org/0000-0003-0950-1672)

Institutions

Tianjin University (CN)

Publication Details

Journal: Applied Mathematics & Optimization
Published: 2025-06-24
DOI: https://doi.org/10.1007/s00245-025-10275-1
Citations: 3
Primary Topic: Markov Chains and Monte Carlo Methods
Type: article
Field-Weighted Citation Impact: 7.89

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article

Wasserstein Convergence Rate for Empirical Measures of Markov Processes

Feng‐Yu Wang

Jun 24, 2025

3 citations

Applied Mathematics & Optimization

Markov Chains and Monte Carlo Methods

7.89

article

Wasserstein Convergence Rate for Empirical Measures of Markov Processes

Feng‐Yu Wang

June 24, 2025article en

3 citations

Abstract

No abstract available for this paper.

Applied Mathematics & OptimizationVol. 92(1)

Tianjin University (CN)

Openalex Percentile: Top 3%

Markov Chains and Monte Carlo Methods

7.89

DOI Source OpenAlex

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Wasserstein Convergence Rate for Empirical Measures of Markov Processes — Feng‐Yu Wang · Applied Mathematics & Optimization (2025) | TGRS Research Map | TGRS