ABSTRACT: Determining the causal effect of special education is a critical topic when making educational policy that focuses on student achievement. However, current special education research is ...

ABSTRACT: Determining the causal effect of special education is a critical topic when making educational policy that focuses on student achievement. However, current special education research is ...

The course will introduce and demonstrate the use of Bayesian Additive Regression Tree (BART) methods for species distribution modeling (SDM) and other ecological applications. We will explain how ...

Abstract: The future B5G/6G wireless networks are required to intelligently operate and optimize in all ranges of scenarios, however, most of the functions in self-organizing network (SON) ...

Objective: This study aims to investigate the association between skeletal muscle mass (SMM) and left ventricular mass (LVM), providing a basis for health management and cardiac health interventions ...

This workshop provides an overview of key statistical modeling approaches, starting with the principles of Bayesian inference, followed by semiparametric regression with structured additive predictors ...

Many modern datasets are sampled with error from complex high-dimensional surfaces. Methods such as tensor product splines or Gaussian processes are effective and ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of decision tree regression using the C# language. Unlike most implementations, this one does not use recursion ...

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.

The discoveries came after the vessel went down this week in what some witnesses described as a waterspout, or a small tornado, during a violent downpour. No names were immediately released. By Emma ...