1 citations · 1 across the 4 of their papers we have counts for
6 papers
Bayesian Mixture Models for Histograms: with Applications to Large Datasets
Richard L. Warr, Fernando A. Quintana, Alessandra Guglielmi +1
In many real-world scenarios, especially those involving privacy constraints or data summarization, data are available only in aggregated forms, such as histograms or frequency tab…
On the classification of triggers of dynamic processes in geophysics
A. V. Guglielmi, A. D. Zavyalov, O. D. Zotov
In geophysics, the problem of classifying triggers of dynamic processes in the lithosphere, hydrosphere, atmosphere, ionosphere and magnetosphere has arisen and needs to be solved.…
A warning system for risk prediction of metabolic syndrome in a healthy population of blood donors
Simone Colombara, Ilenia Epifani, Alessandra Guglielmi +1
Metabolic syndrome is a complex clinical condition characterized by the simultaneous presence of multiple metabolic risk factors and represents a major public health concern. The s…
A Bayesian time-varying random partition model for large spatio-temporal datasets
Giulio Beltramin, Andrea Cremaschi, Annalisa Cadonna +2
Spatio-temporal areal data can be seen as a collection of time series which are spatially correlated, according to a specific neighbouring structure. Motivated by a dataset on mobi…
Bayesian Source Apportionment of Spatio-temporal air pollution data
Michela Frigeri, Veronica Berrocal, Alessandra Guglielmi
Understanding the sources that contribute to fine particulate matter (PM) is of crucial importance for designing and implementing targeted air pollution mitigation strategi…
Bayesian Mixtures Models with Repulsive and Attractive Atoms
Mario Beraha, Raffaele Argiento, Federico Camerlenghi +1
The study of almost surely discrete random probability measures is an active line of research in Bayesian nonparametrics. The idea of assuming interaction across the atoms of the r…