Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation Model selection and forecasting in stress tests can be facilitated using machine learning techniques. These techniques have ...

• A prediction model for assessing the risk of coagulation disorders after coronary artery bypass grafting (CABG) was developed and demonstrated good prediction performance in elderly individuals, ...

This is a preview. Log in through your library . Abstract Model averaging has long been proposed as a powerful alternative to model selection in regression analysis. However, how well it performs in ...

Statistical learning is evolving quickly, with increasingly sophisticated models seeking to incorporate the complicated data structures from modern scientific and business problems. Varying-index ...

TUESDAY, May 27, 2025 (HealthDay News) -- The least absolute shrinkage and selection operator-logistic regression (Lasso-LR) model is optimal for predicting in-hospital mortality for adult patients ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...