research
∙
11/03/2022
betaclust: a family of mixture models for beta valued DNA methylation data
The DNA methylation process has been extensively studied for its role in...
share
research
∙
05/26/2021
Flexible Bayesian modelling of concomitant covariate effects in mixture models
Mixture models provide a useful tool to account for unobserved heterogen...
research
∙
02/03/2021
Unobserved classes and extra variables in high-dimensional discriminant analysis
In supervised classification problems, the test set may contain data poi...
research
∙
01/29/2021
Parsimonious Bayesian Factor Analysis for modelling latent structures in spectroscopy data
In recent years animal diet has been receiving increased attention, in p...
research
∙
10/20/2020
Robust variable selection in the framework of classification with label noise and outliers: applications to spectroscopic data in agri-food
Classification of high-dimensional spectroscopic data is a common task i...
research
∙
07/29/2020
Robust variable selection for model-based learning in presence of adulteration
The problem of identifying the most discriminating features when perform...
research
∙
06/04/2020
Handling missing data in model-based clustering
Gaussian Mixture models (GMMs) are a powerful tool for clustering, class...
research
∙
11/19/2019
Anomaly and Novelty detection for robust semi-supervised learning
Three important issues are often encountered in Supervised and Semi-Supe...
research
∙
08/21/2019
Clustering Longitudinal Life-Course Sequences using Mixtures of Exponential-Distance Models
Sequence analysis is an increasingly popular approach for the analysis o...
research
∙
04/12/2019
A robust approach to model-based classification based on trimming and constraints
In a standard classification framework a set of trustworthy learning dat...
research
∙
08/15/2018
Model-based clustering for random hypergraphs
A probabilistic model for random hypergraphs is introduced to represent ...
research
∙
07/16/2018
Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel
Dáil Éireann is the principal chamber of the Irish parliament. The 31st ...
research
∙
07/10/2018
Node-specific effects in latent space modelling of multidimensional networks
Observed multidimensional network data can have different levels of comp...
research
∙
03/13/2018
Latent Space Modeling of Multidimensional Networks with Application to the Exchange of Votes in Eurovision Song Contest
The Eurovision Song Contest is a popular TV singing competition held ann...
research
∙
11/21/2017
Model-based Clustering with Sparse Covariance Matrices
Finite Gaussian mixture models are widely used for model-based clusterin...
research
∙
11/15/2017
Parsimonious Model-Based Clustering with Covariates
In model-based clustering methods using finite mixture models, the clust...
research
∙
10/10/2017
Motor Insurance Accidental Damage Claims Modeling with Factor Collapsing and Bayesian Model Averaging
Accidental damage is a typical component of motor insurance claim. Model...
research
∙
11/21/2012