A Likelihood Ratio Framework for High Dimensional Semiparametric Regression

6 Dec 2014 Yang Ning Tianqi Zhao Han Liu

We propose a likelihood ratio based inferential framework for high dimensional semiparametric generalized linear models. This framework addresses a variety of challenging problems in high dimensional data analysis, including incomplete data, selection bias, and heterogeneous multitask learning... (read more)

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