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Data-driven covariate selection for nonparametric estimation of causal effects.

D. Entner, P. Hoyer, и P. Spirtes. AISTATS, том 31 из JMLR Workshop and Conference Proceedings, стр. 256-264. JMLR.org, (2013)

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Ilse Peters

Другие публикации лиц с тем же именем

An experiment in causal discovery using a pneumona database.P. Spirtes, и G. Cooper. AISTATS, Society for Artificial Intelligence and Statistics, (1999)Causal Inference in the Presence of Latent Variables and Selection BiasP. Spirtes, C. Meek, и T. Richardson. CoRR, (2013)Learning Measurement Models for Unobserved VariablesR. de Andrade e Silva, R. Scheines, C. Glymour, и P. Spirtes. CoRR, (2012)Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (2010)P. Grunwald, и P. Spirtes. CoRR, (2012)Treatment selection by constraint propagation a case study in cutting fluid selection.J. Mogush, D. Carrega, P. Spirtes, и M. Fox. Artif. Intell. Eng. Des. Anal. Manuf., 2 (3): 135-168 (1988)Causation prediction and searchP. Spirtes, C. Glymour, и R. Schienes. MIT Press, Cambridge, MA, 2nd издание, (2001)Detection of Unfaithfulness and Robust Causal Inference.J. Zhang, и P. Spirtes. Minds and Machines, 18 (2): 239-271 (2008)Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent VariablesA. Ali, T. Richardson, P. Spirtes, и J. Zhang. CoRR, (2012)A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables.X. Dong, B. Huang, I. Ng, X. Song, Y. Zheng, S. Jin, R. Legaspi, P. Spirtes, и K. Zhang. CoRR, (2023)A Uniformly Consistent Estimator of non-Gaussian Causal Effects Under the k-Triangle-Faithfulness Assumption.S. Wang, и P. Spirtes. CoRR, (2021)

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Tanja Elisabeth Peters

Andre Peters

Jillian Petersen

Robert Martin Peterreins

Ilse Peters

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