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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 ...
IEEE

A Graph Signal Processing Perspective of Network Multiple Hypothesis Testing With False Discovery Rate Control

Abstract: The detection of interesting or anomalous signal behavior using sensor networks plays a key role in many applications. In this work, we model the sensor network as a graph, with each vertex ...
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 ...