A python package for performing penalized maximum likelihood estimation of conditional logit models using kernel logistic regression
Luis Rodriguez Benitez
Discrete choice modeling using Kernel Logistic Regression
The Kernel Logistic Regression is a popular technique in machine learning. In this work this technique is applied to the field of discrete choice modeling. This approach is …
jose-angel-martin-baos
Discrete choice modeling using Kernel Logistic Regression
A methodology for monitoring traffic flow and air pollution in urban areas