Marginal integration for nonparametric causal inference
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Publication:908271
DOI10.1214/15-EJS1075zbMath1330.62171arXiv1405.1868OpenAlexW3098582821MaRDI QIDQ908271
Publication date: 4 February 2016
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1405.1868
robustnessnonparametric inferencecausal inferencemodel misspecificationstructural equation modelmarginal integrationintervention calculusbackdoor adjustment
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Cites Work
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- Greedy function approximation: A gradient boosting machine.
- Doubly Robust Estimation in Missing Data and Causal Inference Models
- Penalized likelihood methods for estimation of sparse high-dimensional directed acyclic graphs
- \(\ell_{0}\)-penalized maximum likelihood for sparse directed acyclic graphs
- Boosting algorithms: regularization, prediction and model fitting
- Learning high-dimensional directed acyclic graphs with latent and selection variables
- CAM: causal additive models, high-dimensional order search and penalized regression
- Finding quantitative trait loci genes with collaborative targeted maximum likelihood learning
- Higher order inference on a treatment effect under low regularity conditions
- Optimal estimation in additive regression models
- Probabilistic modelling in bioinformatics and medical informatics.
- On boosting kernel regression
- Estimating high-dimensional intervention effects from observational data
- Estimation of integrated squared density derivatives
- Causation, prediction, and search
- Direct estimation of low-dimensional components in additive models.
- Unified methods for censored longitudinal data and causality
- Semiparametric minimax rates
- On the completeness of orientation rules for causal discovery in the presence of latent confounders and selection bias
- Causal statistical inference in high dimensions
- Two optimal strategies for active learning of causal models from interventional data
- On the uniform convergence of empirical norms and inner products, with application to causal inference
- High-dimensional learning of linear causal networks via inverse covariance estimation
- Application of Biostatistics and Bioinformatics Tools to Identify Putative Transcription Factor-Gene Regulatory Network of Ankylosing Spondylitis and Sarcoidosis
- The central role of the propensity score in observational studies for causal effects
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Boosting With theL2Loss
- Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
- Causal Inference Without Counterfactuals
- Thin Plate Regression Splines
- 10.1162/153244303321897717
- A kernel method of estimating structured nonparametric regression based on marginal integration
- Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
- Identifiability of Gaussian structural equation models with equal error variances
- Score-based causal learning in additive noise models
- Causal Inference Using Potential Outcomes
