Double generative adversarial networks for conditional independence testing
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- Su, Liangjun & White, Halbert, 2007.
"A consistent characteristic function-based test for conditional independence,"
Journal of Econometrics, Elsevier, vol. 141(2), pages 807-834, December.
- Su, Liangjun & White, Halbert, 2003. "A Consistent Characteristic-Function-Based Test for Conditional Independence," University of California at San Diego, Economics Working Paper Series qt4dv0837f, Department of Economics, UC San Diego.
- Jordi Barretina & Giordano Caponigro & Nicolas Stransky & Kavitha Venkatesan & Adam A. Margolin & Sungjoon Kim & Christopher J.Wilson & Joseph Lehár & Gregory V. Kryukov & Dmitriy Sonkin & Anupama Red, 2012. "Addendum: The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity," Nature, Nature, vol. 492(7428), pages 290-290, December.
- Rajarshi Mukherjee & Whitney K. Newey & James Robins, 2017. "Semiparametric efficient empirical higher order influence function estimators," CeMMAP working papers CWP30/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jordi Barretina & Giordano Caponigro & Nicolas Stransky & Kavitha Venkatesan & Adam A. Margolin & Sungjoon Kim & Christopher J. Wilson & Joseph Lehár & Gregory V. Kryukov & Dmitriy Sonkin & Anupama Re, 2012. "The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity," Nature, Nature, vol. 483(7391), pages 603-607, March.
- Mathew J. Garnett & Elena J. Edelman & Sonja J. Heidorn & Chris D. Greenman & Anahita Dastur & King Wai Lau & Patricia Greninger & I. Richard Thompson & Xi Luo & Jorge Soares & Qingsong Liu & Francesc, 2012. "Systematic identification of genomic markers of drug sensitivity in cancer cells," Nature, Nature, vol. 483(7391), pages 570-575, March.
- Emmanuel Candès & Yingying Fan & Lucas Janson & Jinchi Lv, 2018. "Panning for gold: ‘model‐X’ knockoffs for high dimensional controlled variable selection," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(3), pages 551-577, June.
- Aude Geneway & Gabriel Peyré & Marco Cuturi, 2017. "Learning Generative Models with Sinkhorn Divergences," Working Papers 2017-83, Center for Research in Economics and Statistics.
- Xueqin Wang & Wenliang Pan & Wenhao Hu & Yuan Tian & Heping Zhang, 2015. "Conditional Distance Correlation," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1726-1734, December.
- Wang, Xia & Hong, Yongmiao, 2018. "Characteristic Function Based Testing For Conditional Independence: A Nonparametric Regression Approach," Econometric Theory, Cambridge University Press, vol. 34(4), pages 815-849, August.
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Cited by:
- Shi, Chengchun & Zhou, Yunzhe & Li, Lexin, 2023. "Testing directed acyclic graph via structural, supervised and generative adversarial learning," LSE Research Online Documents on Economics 119446, London School of Economics and Political Science, LSE Library.
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More about this item
Keywords
conditional independence; double-robustness; generalized covariance measure; generative adversarial networks; multiplier bootstrap;All these keywords.
JEL classification:
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2021-11-22 (Big Data)
- NEP-CMP-2021-11-22 (Computational Economics)
- NEP-ECM-2021-11-22 (Econometrics)
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