2. Regressors

Here lives the guide to the regressors that we implement and utilize in our models. Each of our models inherits from a class in one of these modules. Also, this is where we first experiment with new ideas on modeling mesoscale connectivity.

• 2.1. Nonnegative Least Squares Regression
  • 2.1.1. Nonnegative Ridge Regression
  • 2.1.2. Nonnegative Lasso or Nonnegative Elastic Net
• 2.2. Nonnparametric Regression
  • 2.2.1. Nadaraya Watson Regression
  • 2.2.2. Efficient Leave-one-out Cross-Validation