research
∙
01/06/2022
A note on efficient minimum cost adjustment sets in causal graphical models
We study the selection of adjustment sets for estimating the interventio...
share
research
∙
12/14/2020
Clustering high dimensional meteorological scenarios: results and performance index
The Reseau de Transport d'Electricité (RTE) is the French main electrici...
research
∙
04/22/2020
Efficient adjustment sets in causal graphical models with hidden variables
We study the selection of covariate adjustment sets for estimating the v...
research
∙
02/06/2020
Uncovering differential equations from data with hidden variables
Finding a set of differential equations to model dynamical systems is a ...
research
∙
12/01/2019
Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models
The method of covariate adjustment is often used for estimation of popul...
research
∙
04/07/2019
A unifying approach for doubly-robust ℓ_1 regularized estimation of causal contrasts
We consider inference about a scalar parameter under a non-parametric mo...
research
∙
04/07/2019
Characterization of parameters with a mixed bias property
In this article we characterize a class of parameters in large non-param...
research
∙
12/10/2017
Ensembles of Regularized Linear Models
We propose an approach for building ensembles of regularized linear mode...
research
∙
10/31/2017
Consistency of Generalized Dynamic Principal Components in Dynamic Factor Models
We study the theoretical properties of the generalized dynamic principal...
research
∙
10/12/2017