164 citations · 204 across the 8 of their papers we have counts for
8 papers
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership
Hugues Moreau, Étienne Côme, Allou Samé +1
The Covid-19 pandemic drastically changed urban mobility, both during the height of the pandemic with government lockdowns, but also in the longer term with the adoption of working…
Bayesian contiguity constrained clustering, spanning trees and dendrograms
Etienne Côme
Clustering is a well-known and studied problem, one of its variants, called contiguity-constrained clustering, accepts as a second input a graph used to encode prior information ab…
greed: An R Package for Model-Based Clustering by Greedy Maximization of the Integrated Classification Likelihood
Etienne Côme, Nicolas Jouvin
The greed package implements the general and flexible framework of arXiv:2002.11577 for model-based clustering in the R language. Based on the direct maximization of the exact Inte…
Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data
Florian Toqué, Etienne Côme, Martin Trépanier +1
One of the major goals of transport operators is to adapt the transport supply scheduling to the passenger demand for existing transport networks during each specific period. Anoth…
Hierarchical clustering with discrete latent variable models and the integrated classification likelihood
Etienne Côme, Nicolas Jouvin, Pierre Latouche +1
Finding a set of nested partitions of a dataset is useful to uncover relevant structure at different scales, and is often dealt with a data-dependent methodology. In this paper, we…
The discriminative functional mixture model for a comparative analysis of bike sharing systems
Charles Bouveyron, Etienne Côme, Julien Jacques
Bike sharing systems (BSSs) have become a means of sustainable intermodal transport and are now proposed in many cities worldwide. Most BSSs also provide open access to their data,…
Analysis of Professional Trajectories using Disconnected Self-Organizing Maps
Etienne Côme, Marie Cottrell, Patrice Gaubert
In this paper we address an important economic question. Is there, as mainstream economic theory asserts it, an homogeneous labor market with mechanisms which govern supply and dem…
Model selection and clustering in stochastic block models with the exact integrated complete data likelihood
E. Côme, P. Latouche
The stochastic block model (SBM) is a mixture model used for the clustering of nodes in networks. It has now been employed for more than a decade to analyze very different types of…