Asymptotic properties of a double penalized maximum likelihood estimator in logistic regression
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Abstract:

AbstractMaximum likelihood estimates in logistic regression may encounter serious bias or even non-existence with many covariates or with highly correlated covariates. In this paper, we show that a double penalized maximum likelihood estimator is asymptotically consistent in large samples.

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