Background The long-term trajectories of estimated glomerular filtration rate (eGFR) and their relation to early proteinuria ...

Betting sites will begin posting their initial point spreads for the November 22 Cal-Stanford game late Saturday evening or Sunday, but while we wait for those betting lines with bated breath, we will ...

This repository includes theoretical notes, slides, and hands-on R examples for exploring Bayesian Linear Regression. It introduces both classical and Bayesian regression methods, showing how to ...

Abstract: In a large number of applications, engineers have to estimate values of an unknown function given some observed samples. This task is referred to as function approximation or as ...

ABSTRACT: This study investigates the persistent academic impacts of the Head Start program, a federal government-funded early childhood intervention, using data from the Early Childhood Longitudinal ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China ...

ABSTRACT: In this work, we seek the relationship between the order of the polynomial model and the number of knots and intervals that we need to fit the splines regression model. Regression models ...

Bayesian Optimization, widely used in experimental design and black-box optimization, traditionally relies on regression models for predicting the performance of solutions within fixed search spaces.

Expansive soils, known for their significant volume change with variations in moisture content, are widely distributed around the globe. Due to their swelling properties, expansive soils pose ...

The majority of research predicted heating demand using linear regression models, but they did not give current building features enough context. Model problems such as Multicollinearity need to be ...