79 citations · 158 across the 17 of their papers we have counts for
21 papers
Information criteria exploiting latent structure for model selection in Structural Equation Models
Marion Naveau, Magalie Houée-Bigot, Matthieu Marbac +2
Structural equation models (SEM) are widely used to describe dependency structures between latent variables, making model selection a key issue in many applications. Existing infor…
Model-Based Clustering of Football Event Sequences: A Marked Spatio-Temporal Point Process Mixture Approach
Koffi Amezouwui, Brigitte Gelein, Matthieu Marbac +1
We propose a novel mixture model for football event data that clusters entire possessions to reveal their temporal, sequential, and spatial structure. Each mixture component models…
Rates of Convergence of Maximum Smoothed Log-Likelihood Estimators for Semi-Parametric Multivariate Mixtures
Marie Du Roy de Chaumaray, Michael Levine, Matthieu Marbac
Theoretical guarantees are established for a standard estimator in a semi-parametric finite mixture model, where each component density is modeled as a product of univariate densit…
Goodness-of-fit testing of the distribution of posterior classification probabilities for validating model-based clustering
Salima El Kolei, Matthieu Marbac
We present the first method for assessing the relevance of a model-based clustering result in a general framework. Standard validation criteria, like the adjusted Rand index, rely…
Investigating swimming technical skills by a double partition clustering of multivariate functional data allowing for dimension selection
Antoine Bouvet, Salima El Kolei, Matthieu Marbac
Investigating technical skills of swimmers is a challenge for performance improvement, that can be achieved by analyzing multivariate functional data recorded by Inertial Measureme…
Estimation of the Order of Non-Parametric Hidden Markov Models using the Singular Values of an Integral Operator
Marie Du Roy de Chaumaray, Salima El Kolei, Marie-Pierre Etienne +1
We are interested in assessing the order of a finite-state Hidden Markov Model (HMM) with the only two assumptions that the transition matrix of the latent Markov chain has full ra…