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Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...
JSTOR Daily

Improved statistical analysis of pre- and post-treatment patient-reported outcome measures (PROMs): the applicability of piecewise linear regression splines

Quality of Life Research, Vol. 24, No. 3, SPECIAL SECTION ON RESPONSE SHIFT AND MISSING DATA (March 2015), pp. 567-573 (7 pages) Purpose Patient-reported health-related quality-of-life (HRQoL) ...
JSTOR Daily

A ONE COVARIATE AT A TIME, MULTIPLE TESTING APPROACH TO VARIABLE SELECTION IN HIGH-DIMENSIONAL LINEAR REGRESSION MODELS

This paper provides an alternative approach to penalized regression for model selection in the context of high-dimensional linear regressions where the number of covariates is large, often much larger ...
Pew Research Center

A short intro to linear regression analysis using survey data

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Many of Pew Research Center’s survey analyses show relationships between two ...
Houston Chronicle

The Advantages of Regression Analysis & Forecasting

Regression analysis refers to a method of mathematically sorting out which variables may have an impact. The importance of regression analysis for a small business is that it helps determine which ...