Econometrician Explained: Roles, Methods, and Economic Impact

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...
Learn With Jay on MSN

Linear regression using gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
GitHub

generalized-linear-models

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering ...
emjreviews.com

BMI Shows Dual Impact on Lung Function in Asthmatic Children

Researchers evaluated 328 children experiencing asthma exacerbations to examine how BMI and BMI z-scores correlate with key lung function parameters. Using both linear and piecewise regression ...
marktechpost

PILOT: A New Machine Learning Algorithm for Linear Model Trees that is Fast, Regularized, Stable, and Interpretable

Prior to PILOT, fitting linear model trees was slow and prone to overfitting, especially with large datasets. Traditional regression trees struggled to capture linear relationships effectively. Linear ...
IEEE

A Piecewise Linear Regression and Classification Algorithm With Application to Learning and Model Predictive Control of Hybrid Systems

Abstract: This article proposes an algorithm for solving multivariate regression and classification problems using piecewise linear predictors over a polyhedral partition of the feature space. The ...
Scientific Research Publishing

McGee, V.E. and Carleton, W.T. (1970) Piecewise Regression. Journal of the American Statistical Association, 65, 1109-1124.

ABSTRACT: Recent developments in database technology have seen a wide variety of data being stored in huge collections. The wide variety makes the analysis tasks of a generic database a strenuous task ...