The goal of a machine learning regression problem is to predict a single numeric value. Quantile regression is a variation where you are concerned with under-prediction or over-prediction. I'll phrase ...

We give methods for the construction of designs for regression models, when the purpose of the investigation is the estimation of the conditional quantile function, and the estimation method is ...

Many countries have been trying to expand their public health insurance coverage in recent years. To achieve two fundamental policy goals—equity in health care utilization and control of health care ...