This paper studies sparse linear regression analysis with outliers in the responses. A parameter vector for modeling outliers is added to the standard linear regression model and then the sparse ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Kirsten Schorning, Maria Konstantinou, Holger Dette, OPTIMAL DESIGNS FOR SERIES ESTIMATION IN NONPARAMETRIC REGRESSION WITH CORRELATED DATA, Statistica Sinica, Vol. 31, No. 3 (2021), pp. 1643-1667 ...

Correlation coefficients are indicators of the strength of the linear relationship between two different variables, x and y. A linear correlation coefficient that is greater than zero indicates a ...

Catalog : MATH.5910 Linear Statistics Modeling and Regression (Formerly 92.591) Id: 008463 Credits Min: 3 Credits Max: 3 Description Model building via linear regression models. Method of least ...

Using computer simulations and real data from a large study of schizophrenia, they showed that a method called linkage disequilibrium score regression — although less computationally intensive ...