Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

A new multivariate concept of quantile, based on a directional version of Koenker and Bassett's traditional regression quantiles, is introduced for multivariate location and multiple-output regression ...

Kim, Y. and Oh, H. (2021) Comparison between Multiple Regression Analysis, Polynomial Regression Analysis, and an Artificial Neural Network for Tensile Strength Prediction of BFRP and GFRP. Materials, ...

Trials increasing power by fitting multivariable models were more likely to demonstrate PEP superiority than trials with unadjusted analysis. Underutilization of conditioning models and empirical ...

About this issue Abstract Automated or data-driven bandwidth selection methods tend to break down in the presence of correlated errors. While this problem has previously been studied in the fixed ...

Examples include, but are not limited to matrix and tensor eigenvalue problems, nonlinear dimensionality reduction, nonlinear blind source separation, multivariate polynomial regression, and ...