Double Machine Learning for Causal and Treatment Effects
Victor Chernozhukov of the Massachusetts Institute of Technology provides a general framework for estimating and drawing inference about a low-dimensional parameter in the presence of a high-dimensional nuisance parameter using a generation of nonparametric statistical (machine learning) methods.
Видео Double Machine Learning for Causal and Treatment Effects канала Becker Friedman Institute at UChicago - BFI
Видео Double Machine Learning for Causal and Treatment Effects канала Becker Friedman Institute at UChicago - BFI
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30 октября 2016 г. 22:25:40
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