Mareike Hasenpflug

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20222026

most citedWasserstein convergence rates of increasingly concentrating probability measures

2 citations · 4 across the 5 of their papers we have counts for

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math.PR2026

Wasserstein de-initialization for Markov chains

Mareike Hasenpflug

This article generalizes the de-initialization framework, proposed by (Roberts and Rosenthal, 2001) for total variation distance, to Wasserstein distances. In essence, de-initializ…

math.PR2022★ 2 cited

Wasserstein convergence rates of increasingly concentrating probability measures

Mareike Hasenpflug, Daniel Rudolf, Björn Sprungk

For $ℓ : R^{d} \to [0, \infty)$ we consider the sequence of probability measures $(μ_{n})_{n \in N}$ , where $μ_{n}$ is determined by a density that is…