Thomas Staudt

activity

20182022

most citedA Unifying Approach to Distributional Limits for Empirical Optimal Transport

13 citations · 23 across the 2 of their papers we have counts for

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3 papers · 1 filter

math.ST2022★ 10 cited

Empirical Optimal Transport between Different Measures Adapts to Lower Complexity

Shayan Hundrieser, Thomas Staudt, Axel Munk

The empirical optimal transport (OT) cost between two probability measures from random data is a fundamental quantity in transport based data analysis. In this work, we derive nove…

math.ST2018

Posterior Consistency in the Binomial $(n, p)$ Model with Unknown $n$ and $p$ : A Numerical Study

Laura Fee Schneider, Thomas Staudt, Axel Munk

Estimating the parameters from $k$ independent Bin $(n, p)$ random variables, when both parameters $n$ and $p$ are unknown, is relevant to a variety of applications. It is particular…

math.ST2018

Posterior analysis of $n$ in the binomial $(n, p)$ problem with both parameters unknown -- with applications to quantitative nanoscopy

Johannes Schmidt-Hieber, Laura Fee Schneider, Thomas Staudt +3

Estimation of the population size $n$ from $k$ i.i.d.\ binomial observations with unknown success probability $p$ is relevant to a multitude of applications and has a long history.…

Empirical Optimal Transport between Different Measures Adapts to Lower Complexity

Posterior Consistency in the Binomial (n,p) Model with Unknown n and p: A Numerical Study

Posterior analysis of n in the binomial (n,p) problem with both parameters unknown -- with applications to quantitative nanoscopy

Posterior Consistency in the Binomial $(n, p)$ Model with Unknown $n$ and $p$ : A Numerical Study

Posterior analysis of $n$ in the binomial $(n, p)$ problem with both parameters unknown -- with applications to quantitative nanoscopy