Concept

Moving-average model

Publications associées (99)

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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

Moving-average model

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On distributional autoregression and iterated transportation

Sparse autoregressive neural networks for classical spin systems

Directional sensitivity of cortical neurons towards TMS induced electric fields

Comparison of Three Imputation Methods for Groundwater Level Timeseries

Networks with correlated edge processes

Comparing end-tidal CO2, respiration volume per time (RVT), and average gray matter signal for mapping cerebrovascular reactivity amplitude and delay with breath-hold task BOLD fMRI

Distributional Regression and Autoregression via Optimal Transport

Wastewater monitoring can anchor global disease surveillance systems

Electromagnetic forces in the time domain

Explanation of Optical Force and Torque on Nanomotors as the Interplay of Huygens Sources

Sparse autoregressive neural networks for classical spin systems

Comparing end-tidal CO2, respiration volume per time (RVT), and average gray matter signal for mapping cerebrovascular reactivity amplitude and delay with breath-hold task BOLD fMRI

Directional sensitivity of cortical neurons towards TMS induced electric fields

Distributional Regression and Autoregression via Optimal Transport

On distributional autoregression and iterated transportation

Networks with correlated edge processes

Electromagnetic forces in the time domain

Wastewater monitoring can anchor global disease surveillance systems

Comparison of Three Imputation Methods for Groundwater Level Timeseries

Explanation of Optical Force and Torque on Nanomotors as the Interplay of Huygens Sources