Big data and LASSO improve health insurance risk prediction

FAYETTEVILLE, GA, UNITED STATES, February 6, 2026 /EINPresswire.com/ -- A study in Risk Sciences examines whether ...
ascopubs.org

Knowledge-Guided Statistical Learning Methods for Analysis of High-Dimensional -Omics Data in Precision Oncology

High-dimensional -omics data such as genomic, transcriptomic, and metabolomic data offer great promise in advancing precision medicine. In particular, such data have enabled the investigation of ...
EurekAlert!

Novel algorithm proposed for selecting variables efficiently

A new variable selection method was proposed recently by a research team from the Institute of Intelligent Machines, Hefei Institutes of Physical Science (HFIPS) of Chinese Academy of Sciences (CAS) ...
Simon Fraser University

Model-Selection Methods

The nine methods of model selection implemented in PROC REG are specified with the SELECTION= option in the MODEL statement. Each method is discussed in this section. This method is the default and ...
Risk

Estimating marginal effects of key factors that influence wholesale electricity demand and price distributions in Texas via quantile variable selection methods

Understanding the key drivers of prices and energy consumption is an important issue, which is complicated because the distributions of prices and consumption are asymmetric and fat-tailed. That is, ...