6 papers
Latent Modularity in Multi-View Data
Andrea Cremaschi, Maria De Iorio, Garritt Page +1
In this article, we consider the problem of clustering multi-view data, that is, information associated to individuals that form heterogeneous data sources (the views). We adopt a…
Repulsive mixtures via the sparsity-inducing partition prior
Alexander Mozdzen, Timothy Wertz, Maria De Iorio +3
We introduce a novel prior distribution for modelling the weights in mixture models based on a generalisation of the Dirichlet distribution, the Selberg Dirichlet distribution. Thi…
A Bayesian semi-parametric model for longitudinal growth and appetite phenotypes in children
Andrea Cremaschi, Beatrice Franzolini, Maria De Iorio +8
This study develops a Bayesian semi-parametric model to examine the longitudinal growth and appetite phenotypes in children from the GUSTO cohort, with a focus on understanding the…
Singularities in Bayesian Inference: Crucial or Overstated?
Maria De Iorio, Andreas Heinecke, Beatrice Franzolini +1
Over the past two decades, shrinkage priors have become increasingly popular, and many proposals can be found in the literature. These priors aim to shrink small effects to zero wh…
From Coin to Data: The Impact of Object Detection on Digital Numismatics
Rafael Cabral, Maria De Iorio, Andrew Harris
In this work we investigate the application of advanced object detection techniques to digital numismatics, focussing on the analysis of historical coins. Leveraging models such as…
Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data
Rafael Cabral, Maria de Iorio, Andrew Harris
In the era of Big Data, scalable and accurate clustering algorithms for high-dimensional data are essential. We present new Bayesian Distance Clustering (BDC) models and inference…