Python package for Granger causality test with nonlinear forecasting methods.
-
Updated
Mar 12, 2024 - Python
Python package for Granger causality test with nonlinear forecasting methods.
Regularized Levenberg-Marquardt algorithm for nonlinear regression on small size datasets
Implementation of different Lorenz models (Matlab and Python)
Regression analysis is a statistical analysis technique that can be used to model relationships between a dependent and one or more independent ones. The implementation of a regression is used to describe relationships quantitatively or to predict values of the dependent variables. Here you may find the model to predict house prices.
Add a description, image, and links to the nonlinear-models topic page so that developers can more easily learn about it.
To associate your repository with the nonlinear-models topic, visit your repo's landing page and select "manage topics."