Double generative adversarial networks for conditional independence testing
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References listed on IDEAS
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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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