Causal statistical inference in high dimensions-Reference-Cited by-同舟云学术

Causal statistical inference in high dimensions

Published:2013-05-22 Issue:3 Volume:77 Page:357-370
ISSN:1432-2994
Container-title:Mathematical Methods of Operations Research
language:en
Short-container-title:Math Meth Oper Res

Author:

Bühlmann Peter

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Mathematics,Software

Link

http://link.springer.com/content/pdf/10.1007/s00186-012-0404-7.pdf

Reference27 articles.

1. Andersson S, Madigan D, Perlman M (1997) A characterization of Markov equivalence classes for acyclic digraphs. Ann Stat 25: 505–541

2. Banerjee O, El Ghaoui L, d’Aspremont A (2008) Model selection through sparse maximum likelihood estimation for multivariate Gaussian or binary data. J Mach Learn Res 9: 485–516

3. Bühlmann P, Kalisch M, Maathuis M (2010) Variable selection in high-dimensional linear models: partially faithful distributions and the PC-simple algorithm. Biometrika 97: 261–278

4. Bühlmann P, Rütimann P, Kalisch M (2011) Controlling false positive selections in high-dimensional regression and causal inference. Stat Methods Med Res (published online). doi: 10.1177/0962280211428371

5. Chickering D (2002) Optimal structure identification with greedy search. J Mach Learn Res 3: 507–554

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