Efficient least squares for estimating total effects under linearity and
causal sufficiency

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Efficient least squares for estimating total effects under linearity and causal sufficiency

8 August 2020

By F. Richard Guo

Emilija Perković

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Papers citing "Efficient least squares for estimating total effects under linearity and causal sufficiency"

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Title
Asymptotic Uncertainty in the Estimation of Frequency Domain Causal Effects for Linear Processes N. Reiter Jonas Wahl G. C. Hegerl Jakob Runge 103 2 0 26 Jun 2024
Efficient learning of nonlinear prediction models with time-series privileged information Bastian Jung Fredrik D. Johansson AI4TS 81 5 0 15 Sep 2022
Variable elimination, graph reduction and efficient g-formula F. R. Guo Emilija Perković A. Rotnitzky CML 74 7 0 24 Feb 2022
Nonlinear Regression with Residuals: Causal Estimation with Time-varying Treatments and Covariates Stephen Bates Edward H. Kennedy Robert Tibshirani V. Ventura Larry A. Wasserman CML OOD 54 1 0 31 Jan 2022
Minimal enumeration of all possible total effects in a Markov equivalence class F. R. Guo Emilija Perković CML 38 17 0 16 Oct 2020
On efficient adjustment in causal graphs Jan-Jelle Witte Leonard Henckel Marloes H. Maathuis Vanessa Didelez CML 70 70 0 17 Feb 2020