Discrete choice modeling in Python with large datasets & single choice / basket models - Assortment & Pricing Optimization .

A command for fitting (Discrete Choice) Random Regret Minimization models using Stata

A transparent, spreadsheet-based implementation of Maximum Likelihood Estimation (MLE) to calibrate Multinomial Logit (MNL) mode choice models

Reproducible Monte Carlo simulation code and result archives for studying finite-sample information retention in multinomial logit and matched binary logit estimators.

multinomial logit;

Code and reproducible analysis for the TU Delft MSc Thesis "Mode choice behaviour of dynamic street space allocation: A stated-preference experiment in Amsterdam"

Personality-aware route optimization: Big-Five → MNL discrete-choice weights, validated in a Mesa agent-based simulation. B.Sc. thesis + field-pilot web app.