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THEORY OF HIGH-DIMENSIONAL ℓ1-PENALIZED LOGISTIC REGRESSION
Otubo, Emmanuel (2023-08-04)
n the setting where sample size n is sufficiently large relative to the number of features p, a classical result is that fitting a logistic model by means of maximum likelihood produces estimates that are approximately ...