There are roughly a dozen major regression techniques, and each technique has several variations. Among the most common techniques are linear regression, linear ridge regression, k-nearest neighbors ...

Each technique has pros and cons. This article explains how to implement decision tree regression from scratch, using the C# language. Compared to other regression techniques, decision tree regression ...

Seyoung Kim, Eric P. Xing, TREE-GUIDED GROUP LASSO FOR MULTI-RESPONSE REGRESSION WITH STRUCTURED SPARSITY, WITH AN APPLICATION TO EQTL MAPPING, The Annals of Applied Statistics, Vol. 6, No. 3 ...

Multiple linear regression (MLR) is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.

This paper describes an interdisciplinary study of the habitat requirements of threatened desert tortoises (Gopherus agassizii) on eight 225-ha study plots in a 14 000 ha study area near the southern ...

Stepwise regression involves selection of independent variables to use in a model based on an iterative process of adding or removing variables.