Asymptotic Theory for Cross-validated Targeted Maximum Likelihood Estimation

By Wenjing Zheng, M. J. van der Laan. 2010

127 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7efac8c9727e92d7e8d5cacc5f06453b7ff7dca6

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Citations in the corpus

How to make causal inferences using texts (2018, unknown): “Although we use specific models to facilitate discovery, STM for text as outcome and sIBP for text as treatment, the process we describe here is general to any method for discovering g from data.”
Double/Debiased Machine Learning for Treatment and Causal Parameters (2016, methodology): “Neyman-orthogonal estimating equations with machine learning methods. Some of the work on targeted maximum likelihood also employs versions of sample splitting to weaken entropy conditions; see, e.g. [62]. While clearly related, the sample splitting approach in the targeted learning literature is di”
Semiparametric theory and empirical processes in causal inference (2015, background): “s where root-n rates of convergence are not possible. Further, Donsker-type regularity conditions (though not rate conditions) can be weakened via cross-validation approaches, proposed for example by [72]. We also supposed in this review that our target parameter was a low-dimensional Euclidean para”
Handbook of Big Data (2016, methodology): “The software will be available as an R-package, but the instructions below do not reﬂect this and get the reader going by sourcing the software from the ﬁrst author’s site.”
Targeted Data Adaptive Estimation of the Causal Dose–Response Curve (2013, unknown): “Zheng and van der Laan [30] present two types of CV-TML estimators: one for a general parameter, and a specific CV-TMLE for the case in which Q can be partitioned as ðQ1;Q2Þ and the mapping that defines the parameter is linear in Q1.”
Towards optimal doubly robust estimation of heterogeneous causal effects (2020, methodology): “As mentioned above, Definition 1 can be viewed as a generalization of the classic condition that Andrews [1994], Lemma 19.24 of van der Vaart [2000], Lemma 2 of Zheng and van der Laan [2010], term I 3 ,k of Chernozhukov et al. [2018], Lemma 2 of Kennedy et al. [2020], etc.).”
Semiparametric doubly robust targeted double machine learning: a review (2022, methodology): “However, Donsker assumptions can still be restrictive, as noted for example by Robins et al. [2008] (Remark 2.8), Zheng and van der Laan [2010], and Chernozhukov et al. [2018], and may require avoiding commonly used methods such as lasso or random forests.”