This paper proposes a new combined semiparametric estimator of the conditional variance that takes the product of a parametric estimator and a nonparametric estimator based on machine learning. A popular kernel-based machine learning algorithm, known as the kernel-regularized least squares...

This paper builds predictive models for the incidences of neonatal and infant mortality using multiple parametric and non-parametric Machine Learning (ML) techniques. The consensus of the top predictors from the interpret-able ML algorithms (that we use) serve as leading indicators of neonatal...