Search Results for author: Georges Sfeir

Found 3 papers, 0 papers with code

Attitudes and Latent Class Choice Models using Machine learning

no code implementations20 Feb 2023 Lorena Torres Lahoz, Francisco Camara Pereira, Georges Sfeir, Ioanna Arkoudi, Mayara Moraes Monteiro, Carlos Lima Azevedo

Latent Class Choice Models (LCCM) are extensions of discrete choice models (DCMs) that capture unobserved heterogeneity in the choice process by segmenting the population based on the assumption of preference similarities.

Discrete Choice Models

Gaussian Process Latent Class Choice Models

no code implementations28 Jan 2021 Georges Sfeir, Filipe Rodrigues, Maya Abou-Zeid

We present a Gaussian Process - Latent Class Choice Model (GP-LCCM) to integrate a non-parametric class of probabilistic machine learning within discrete choice models (DCMs).

Discrete Choice Models Gaussian Processes

Semi-nonparametric Latent Class Choice Model with a Flexible Class Membership Component: A Mixture Model Approach

no code implementations6 Jul 2020 Georges Sfeir, Maya Abou-Zeid, Filipe Rodrigues, Francisco Camara Pereira, Isam Kaysi

The proposed model formulates the latent classes using mixture models as an alternative approach to the traditional random utility specification with the aim of comparing the two approaches on various measures including prediction accuracy and representation of heterogeneity in the choice process.

Clustering Discrete Choice Models

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