Applied Spatial Regression Analysis - Lecture: Principles of Maximum Likelihood Estimation

These lectures are from a 10-week course about Applied Spatial Regression Analysis in fall 2024 by Professor Luc Anselin. The analysis is implemented in Python (PySAL spreg) with Jupyter notebooks. They will be uploaded weekly until the end of November. Access the spatial regression notebooks with data here: https://github.com/lanselin/spatial_regression_notebooks Fall 2024