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Publications associées (362)

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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

Biais (statistique)

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Unbiased likelihood-based estimation of Wright-Fisher diffusion processes

An equilibrated flux a posteriori error estimator for defeaturing problems

We Need Subject Matter Expertise to Choose and Identify Causal Estimands: Comment on "Estimands for Recurrent Event Endpoints in the Presence of a Terminal Event"

Towards a multiscale point cloud structural similarity metric

Functional data analysis with rough sample paths?

Nonparametric estimation for SDE with sparsely sampled paths: An FDA perspective

Distributional Regression and Autoregression via Optimal Transport

OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions

Causal inference with recurrent and competing events

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods

Functional data analysis with rough sample paths?

An equilibrated flux a posteriori error estimator for defeaturing problems

Towards a multiscale point cloud structural similarity metric

Nonparametric estimation for SDE with sparsely sampled paths: An FDA perspective

OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions

Unbiased likelihood-based estimation of Wright-Fisher diffusion processes

Distributional Regression and Autoregression via Optimal Transport

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods

Causal inference with recurrent and competing events

We Need Subject Matter Expertise to Choose and Identify Causal Estimands: Comment on "Estimands for Recurrent Event Endpoints in the Presence of a Terminal Event"