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Logistic regression has been widely applied in the field of biostatistics for a long time. It aims to model the conditional success probability of an event of interest as the logit function of a lin...
Lasso and other regularization procedures are attractive methods for variable selection, subject to a proper choice of shrinkage parameter. Given a set of potential subsets produced by a regularizatio...
We introduce a class of shape mixtures of skewed distributions and study some of its main properties. We discuss a Bayesian interpretation and some invariance results of the proposed class. We devel...
This paper extends, tests, and revises a previous meta-regression analysis of the gender wage gap (Stanley and Jarrell 1998). We find that there remains a strong, though dampened, tendency for discrim...

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