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math.ST2025

Optimal Transport Based Testing in Factorial Designs

Michel Groppe, Linus Niemöller, Linus Niemöller +6

We introduce a general framework for testing statistical hypotheses in factorial designs for probability measures supported on finite spaces. The suggested methodology is based on…

math.ST2025

Sharp Convergence Rates of Empirical Unbalanced Optimal Transport for Spatio-Temporal Point Processes

Marina Struleva, Shayan Hundrieser, Dominic Schuhmacher +1

We statistically analyze empirical plug-in estimators for unbalanced optimal transport (UOT) formalisms, focusing on the Kantorovich-Rubinstein distance, between general intensity…

math.ST2025

Local Poisson Deconvolution for Discrete Signals

Shayan Hundrieser, Tudor Manole, Danila Litskevich +1

We analyze the statistical problem of recovering an atomic signal, modeled as a discrete uniform distribution , from a binned Poisson convolution model. This question is motiva…

math.ST2024

Lower Complexity Adaptation for Empirical Entropic Optimal Transport

Michel Groppe, Shayan Hundrieser

Entropic optimal transport (EOT) presents an effective and computationally viable alternative to unregularized optimal transport (OT), offering diverse applications for large-scale…

math.ST2024

Convergence of Empirical Optimal Transport in Unbounded Settings

Thomas Staudt, Shayan Hundrieser

In compact settings, the convergence rate of the empirical optimal transport cost to its population value is well understood for a wide class of spaces and cost functions. In unbou…