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Your Excel regression is probably a mess—here's how Python fixes it

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.
IEEE

Broad Minimax Probability Learning System and its Application in Regression Modeling

Abstract: Broad learning system (BLS), a novel incremental learning algorithm, has attracted more and more attention and application. BLS achieves a perfect balance ...
Investopedia

Stepwise Regression Explained: Uses, Benefits, and Drawbacks

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Investopedia

Understand Variance Inflation Factor (VIF) in Regression Analysis

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Robert Kelly is managing director of XTS ...
PNAS

Comparing variable selection and model averaging methods for logistic regression

Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...
IEEE

Noise-Assisted Graph Multivariate Empirical Mode Decomposition With Non-Uniform Projections

Abstract: Latest advances in multi-agent technology and hardware architecture design have made multivariate or multichannel data, often supported by graphs or networks, ubiquitous in recent scientific ...
Scientific Research Publishing

Heart Disease Prediction: A Logistic Regression Approach ()

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
Psychology Today

Defense Mechanisms

Defense mechanisms are unconscious strategies whereby people protect themselves from anxious thoughts or feelings. Defense mechanisms aren’t inherently bad—they can allow people to navigate painful ...
Nature

Using multiple linear regression to predict engine oil life

This paper deals with the use of multiple linear regression to predict the viscosity of engine oil at 100 °C based on the analysis of selected parameters obtained by Fourier transform infrared ...
GitHub

Generalized Ridge Trace Plots for Ridge Regression

Consider the standard linear model, $\mathbf{y} = \mathbf{X} ; \mathbf{\beta} + \mathbf{\epsilon}$ for $p$ predictors in a multiple regression. In this context, high ...
C&EN

Regression Study of Odorant Chemical Space, Molecular Structural Diversity, and Natural Language Description

Priority Organization for Innovation and Excellence Laboratory for Data Sciences, Kumamoto University, 2-39-1, Kurokami, Chuo-ku, Kumamoto 860-8555, Japan ...
GitHub

GWASmeta: A rapid Bayesian methods for subset selection and GWAS meta-analysis.

This package provids three methods to get optimal ABF for the variant-trait association in Bayesian GWAS meta-analysis across numerous studies. The three approaches include Subset-Exhaustive, MCMC and ...