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20082026
most citedAvoiding catastrophic failure in correlated networks of networks

292 citations

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math.ST2022★ 1 cited

Variable elimination, graph reduction and efficient g-formula

F. Richard Guo, Emilija Perković, Andrea Rotnitzky

We study efficient estimation of an interventional mean associated with a point exposure treatment under a causal graphical model represented by a directed acyclic graph without hi…

math.ST2020★ 5 cited

Efficient adjustment sets in causal graphical models with hidden variables

Ezequiel Smucler, Facundo Sapienza, Andrea Rotnitzky

We study the selection of covariate adjustment sets for estimating the value of point exposure dynamic policies, also known as dynamic treatment regimes, assuming a non-parametric…

math.ST2019★ 30 cited

A unifying approach for doubly-robust regularized estimation of causal contrasts

Ezequiel Smucler, Andrea Rotnitzky, James M. Robins

We consider inference about a scalar parameter under a non-parametric model based on a one-step estimator computed as a plug in estimator plus the empirical mean of an estimator of…

math.ST2009★ 77 cited

Robust estimation for ARMA models

Nora Muler, Daniel Peña, Víctor J. Yohai

This paper introduces a new class of robust estimates for ARMA models. They are M-estimates, but the residuals are computed so the effect of one outlier is limited to the period wh…