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Functional lagged regression with sparse noisy observations

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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

Functional lagged regression with sparse noisy observations

Graph Chatbot

Chattez avec Graph Search

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High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization

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Sparsely Observed Functional Time Series: Theory and Applications