EDN

Makefile vs. YAML: Modernizing verification simulation flows

The article explains an alternative approach to Makefile, based on YAML, a structured and human-readable configuration format ...
How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate correlation coefficient. If you look at the multiple regression we did, ...
How-To Geek on MSN

I Use Python, but I’m Learning R and the Tidyverse for Data Analysis Too

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to language for statistics, but the "Tidyverse" has given the language a serious ...
Yardbarker

Commanders insider says the quiet part out loud about Jayden Daniels' regression

Everything that could go wrong for the Washington Commanders has gone wrong in recent weeks. Dan Quinn's squad sits at 3-4 with a mountain of injuries, causing their playoff hopes to quickly fade ...
IEEE

Finite Sample Analysis of Distribution-Free Confidence Ellipsoids for Linear Regression

Abstract: The least squares (LS) estimate is the archetypical solution of linear regression problems. The asymptotic Gaussianity of the scaled LS error is often used ...
IEEE

Three-Stage Composite Outlier Identification of Wind Power Data: Integrating Physical Rules With Regression Learning and Mathematical Morphology

Abstract: Existing studies on identifying outliers in wind speed-power datasets are often challenged by the complicated and irregular distributions of outliers, especially those being densely stacked ...