8.2. Linear regression with a single explanatory variable There are many ways to do linear regression in Python. We have already used the heavyweight Statsmodels library, so we will continue to use it ...

In regression problems alternative criteria of "best fit" to least squares are least absolute deviations and least maximum deviations. In this paper it is noted that linear programming techniques may ...

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.

In this paper linear restrictions on regression coefficients are studied. Let the p × q2 matrix of coefficients of regression of the p dependent variates on q2 of the independent variates be $\mathbf ...

Their model, called bilinear sequence regression (BSR), strips away the complexity of real-world AI but keeps some of its essential structure and acts as a "theoretical playground" for studying ...