1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Where does the tail start? Inflection Points and Maximum Curvature as Boundaries
Rafael Cabral, Maria de Iorio, Andrea Cremaschi
Understanding the tail behavior of distributions is crucial in statistical theory. For instance, the tail of a distribution plays a ubiquitous role in extreme value statistics, whe…
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…