3 citations · 3 across the 2 of their papers we have counts for
3 papers
stat.ME2022
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…
stat.AP2020★ 3 cited
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…
stat.CO2020
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…