most citedUniform Convergence Rates for Maximum Likelihood Estimation under Two-Component Gaussian Mixture Models

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math.ST2025

Testing Imprecise Hypotheses

Lucas Kania, Tudor Manole, Larry Wasserman +1

Many scientific applications involve testing theories that are only partially specified. This task often amounts to testing the goodness-of-fit of a candidate distribution while al…

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 motivat…

math.ST2025

Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectives

Sivaraman Balakrishnan, Tudor Manole, Larry Wasserman

In many applications of optimal transport (OT), the object of primary interest is the optimal transport map. This map rearranges mass from one probability distribution to another i…

math.ST2025

Stability Bounds for Smooth Optimal Transport Maps and their Statistical Implications

Sivaraman Balakrishnan, Tudor Manole

We study estimators of the optimal transport (OT) map between two probability distributions. We focus on plugin estimators derived from the OT map between estimates of the underlyi…

math.ST20201 cited

Uniform Convergence Rates for Maximum Likelihood Estimation under Two-Component Gaussian Mixture Models

Tudor Manole, Nhat Ho

We derive uniform convergence rates for the maximum likelihood estimator and minimax lower bounds for parameter estimation in two-component location-scale Gaussian mixture models w…