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Building Multivariate Linear Regression in C++ — No Libraries, Just Code

Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
IEEE

Incorporating Sediment Effects Into Seafloor Topographic Inversion via Coefficient-Constrained Multivariate Regression

Abstract: Currently, research on seafloor topographic inversion primarily focuses on various gravity data and inversion methods, while little attention has been given to the seafloor sediment effects.
GitHub

What are the coefficients returned by Polynomial Ridge Regression (or any regression)?

I asked and answered a question about Regression in Stack Overflow. Here is a summary and question. I ran several regressions using pipeline and gridsearch. The winning regression was polynomial ridge ...
Frontiers

Incorporation of clinical features into a multivariate logistic regression model for the differential diagnosis of benign and malignant TI-RADS 4 thyroid nodules

Health Examination Center, Shanghai Health and Medical Center (Huadong Sanatorium), Wuxi, China Objective: This study aimed to explore the diagnostic value of clinical features in the assessment of ...
Frontiers

The feasibility of using a multivariate regression model incorporating ultrasound findings and serum markers to predict thyroid cancer metastasis

Objective: This study aimed to assess the viability of a multivariate regression model utilizing ultrasound findings and serum markers for predicting thyroid cancer metastasis. Methods: A ...
Scientific Research Publishing

Belkhiri, L., & Narany, T. S. (2015). Using Multivariate Statistical Analysis, Geostatistical Techniques and Structural Equation Modeling to Identify Spatial Variability of ...

ABSTRACT: This study assesses the chemical quality of water resources in the Lower Senegal River valley, based on 35 samples collected in November 2022. Major ion concentrations in surface water and ...