Concept

Nonlinear regression

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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

Nonlinear regression

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Intraday solar irradiance forecasting using public cameras

Random matrix methods for high-dimensional machine learning models

Model reduction of coupled systems based on non-intrusive approximations of the boundary response maps

Novel theory and potential applications of central diastolic pressure decay time constant

On distributional autoregression and iterated transportation

Iterative removal of sources to model the turbulent electromotive force

Distributional Regression and Autoregression via Optimal Transport

Reliable uncertainties: Error correlation, rotated error bars, and linear regressions in three-isotope plots and beyond

Scaling behavior of bedload transport: what if Bagnold was right?

Linear Recursive State Estimation of Hybrid and Unbalanced AC/DC Micro-Grids using Synchronized Measurements

Intraday solar irradiance forecasting using public cameras

Random matrix methods for high-dimensional machine learning models

Model reduction of coupled systems based on non-intrusive approximations of the boundary response maps

On distributional autoregression and iterated transportation

Iterative removal of sources to model the turbulent electromotive force

Distributional Regression and Autoregression via Optimal Transport

Novel theory and potential applications of central diastolic pressure decay time constant

Scaling behavior of bedload transport: what if Bagnold was right?

Linear Recursive State Estimation of Hybrid and Unbalanced AC/DC Micro-Grids using Synchronized Measurements

Reliable uncertainties: Error correlation, rotated error bars, and linear regressions in three-isotope plots and beyond