In this tutorial, we implement SHAP workflows as a practical framework for interpreting machine learning models beyond basic feature-importance plots. We start by training tree-based models and then ...

Abstract: This paper introduces a model to analyze route choice behavior of taxi drivers for finding next passenger in urban road network. Considering the situation of path overlapping between ...

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Data analysis and statistics are essential skills for anyone who wants to work with data and extract meaningful insights from it. Whether you are a researcher, a business analyst, a data scientist, or ...

A probabilistic model for representing the discrete choice/behavior of individuals. On any choice occasion the individual is assumed to behave as though choice alternatives were considered in a ...

Ordinal regression is utilised when data contains an ordinal variable with categorical values that have a defined order. It serves as an intermediary method between regression and classification ...

This paper builds on Bonhomme (2012) to develop a method to systematically construct moment conditions for dynamic panel data logit models with fixed effects. After introducing the moment conditions ...