Filtered data and eigenfunction estimators for statistical inference of multiscale and interacting diffusion processes

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Filtered data and eigenfunction estimators for statistical inference of multiscale and interacting diffusion processes

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What can radars tell us about snowfall microphysics? Insights from a Markov chain Monte-Carlo approach

Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression

Improved bounds and inference on optimal regimes

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Extensions of Peer Prediction Incentive Mechanisms

Random matrix methods for high-dimensional machine learning models

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Anisotropic Adaptive Finite Elements for a p-Laplacian Problem

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