Financial word of the day: Heteroscedasticity — meaning, usage, and why it matters more than ever

Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, ...
Open Heart

Bridging machine learning and clinical practice: a multicentre nomogram for 90-day graft failure risk stratification in heart transplantation

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
IEEE

Developing Compact Models Using Regression Confidence Forge Knowledge Distillation for IMU-Based Indoor Positioning System

Abstract: This letter focuses on developing practical and resource-efficient solutions for indoor positioning systems using inertial measurement unit sensors (IMU) by introducing a compact and ...
IEEE

Data-Driven Model Predictive Current Control for PMSM Drives with Bayesian Linear Regression

Abstract: The conventional model predictive current control (MPCC) method is highly sensitive to motor parameters, resulting in decreased control performance when the model parameters are mismatched ...