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Stratégies de compromis pour l'estimation des paramètres de régression et pour la classification floue

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Distributional Regression and Autoregression via Optimal Transport

Laya Ghodrati

We present a framework for performing regression when both covariate and response are probability distributions on a compact and convex subset of

\R^d

. Our regression model is based on the theory of optimal transport and links the conditional Fr'echet m ...

EPFL2023

Stratégies de compromis pour l'estimation des paramètres de régression et pour la classification floue

Graph Chatbot

Chattez avec Graph Search

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Distributional Regression and Autoregression via Optimal Transport

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Small area vulnerability, household food insecurity and child malnutrition in Medellin, Colombia: results from a repeated cross-sectional study

Regularization for distributionally robust state estimation and prediction

Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems

Robust discrete choice models with t-distributed kernel errors

An Unbiased Method of Measuring the Ratio of Two Data Sets

Preserved Corticospinal Tract Revealed by Acute Perfusion Imaging Relates to Better Outcome After Thrombectomy in Stroke

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