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math.PR2022★ 2 cited
Wasserstein convergence rates of increasingly concentrating probability measures
Mareike Hasenpflug, Daniel Rudolf, Björn Sprungk
For we consider the sequence of probability measures , where is determined by a density that is…
math.PR2020
Wasserstein sensitivity of Risk and Uncertainty Propagation
Oliver G. Ernst, Alois Pichler, Björn Sprungk
When propagating uncertainty in the data of differential equations, the probability laws describing the uncertainty are typically themselves subject to uncertainty. We present a se…
math.PR2019
Quantitative spectral gap estimate and Wasserstein contraction of simple slice sampling
Viacheslav Natarovskii, Daniel Rudolf, Björn Sprungk
We prove Wasserstein contraction of simple slice sampling for approximate sampling w.r.t. distributions with log-concave and rotational invariant Lebesgue densities. This yields, i…