Statistical Inference for High-Dimensional Generalized Linear Models with Binary Outcomes
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This paper develops a unified statistical inference framework for high-dimensional binary generalized linear models (GLMs) with general link functions. Both unknown and known design distribution settings are considered. A two-step weighted bias-correction meth... ...
