Spring 2019 AME-70790 Final Project Nicholas Geneva (ngeneva at nd.edu, @NickGeneva)
Reference: Wand, M. P., & Jones, M. C. (1994). Kernel smoothing. Chapman and Hall/CRC.
Various demo files written in python to illustrate the fundementials of kernel smoothers and kernel methods. This files were written as a part of class final project in Spring 2019.
Click on the following links to view each notebook:
- 01_kernel_bandwidth.ipynb
- 02_kernel_shape.ipynb
- 03_multivariate_kernel.ipynb
- 04_chicago_crime_density.ipynb
- 05_local_linear_regression.ipynb
- 06_local_quadratic_regression.ipynb
- 07_nadaraya_watson_regression.ipynb
- 08_multivariate_regression.ipynb
- 09_scottish_hill_races.ipynb
If the Jupyter notebooks do not show on github you can view the rendered version at nbviewer.org. Simply paste the respective notebook url into the prompt and it will be executed.