30 citations · 42 across the 7 of their papers we have counts for
10 papers
A note on efficient minimum cost adjustment sets in causal graphical models
Ezequiel Smucler, Andrea Rotnitzky
We study the selection of adjustment sets for estimating the interventional mean under an individualized treatment rule. We assume a non-parametric causal graphical model with, pos…
Clustering high dimensional meteorological scenarios: results and performance index
Yamila Barrera, Leonardo Boechi, Matthieu Jonckheere +5
The Reseau de Transport d'Electricité (RTE) is the French main electricity network operational manager and dedicates large number of resources and efforts towards understanding cli…
Orthant probabilities and the attainment of maxima on a vertex of a simplex
Damián Pinasco, Ezequiel Smucler, Ignacio Zalduendo
We calculate bounds for orthant probabilities for the equicorrelated multivariate normal distribution and use these bounds to show the following: for degree , the probability…
Uncovering differential equations from data with hidden variables
Agustín Somacal, Yamila Barrera, Leonardo Boechi +4
SINDy is a method for learning system of differential equations from data by solving a sparse linear regression optimization problem [Brunton et al., 2016]. In this article, we pro…
Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models
Andrea Rotnitzky, Ezequiel Smucler
The method of covariate adjustment is often used for estimation of population average treatment effects in observational studies. Graphical rules for determining all valid covariat…
Characterization of parameters with a mixed bias property
Andrea Rotnitzky, Ezequiel Smucler, James M. Robins
In this article we study a class of parameters with the so-called `mixed bias property'. For parameters with this property, the bias of the semiparametric efficient one step estima…