"Traditional" econometric inference is hard to implement in "big data" settings. This course provides a bridge between highly efficient scalable tools from Machine Learning and nonparametric econometric models. The focus will be on developing non-parametric models of large datasets, establishing uniform consistency results for the analyzed models, and bridging the computational efficiency and statistical properties of the estimators.
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