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

In this paper we propose a multivariate functional-coefficient regression model with heteroscedasticity for modelling such data. A local linear smoother is employed to estimate the unknown coefficient ...

The good news is that you probably don’t need to do the number crunching yourself (hallelujah!) but you do need to correctly understand and interpret the analysis created by your colleagues.

Multivariate adaptive regression splines (MARS) have useful features to effectively reduce the number of terms in a model.

Marginal models for multivariate binary data permit separate modelling of the relationship of the response with explanatory variables, and the association between pairs of responses. When the former ...