activity
20192025
most citedBayesian clustering of multiple zero-inflated outcomes

9 citations · 13 across the 19 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

stat.AP2023

From Past to Future: Digital Methods Towards Artefact Analysis

Andrew Harris, Andrea Cremaschi, Tse Siang Lim +2

Over the past two decades, Digital Humanities has transformed the landscape of humanities and social sciences, enabling advanced computational analysis and interpretation of extens…

stat.ME2023★ 1 cited

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…

stat.AP2023

Bayesian modelling of response to therapy and drug-sensitivity in acute lymphoblastic leukemia

Andrea Cremaschi, Wenjian Yang, Maria De Iorio +3

Acute lymphoblastic leukemia (ALL) is a heterogeneous hematologic malignancy involving the abnormal proliferation of immature lymphocytes, accounting for most pediatric cancer case…

stat.ME2023

Graph of Graphs: From Nodes to Supernodes in Graphical Models

Maria De Iorio, Willem van den Boom, Alexandros Beskos +2

High-dimensional data analysis typically focuses on low-dimensional structure, often to aid interpretation and computational efficiency. Graphical models provide a powerful methodo…

stat.ME2023

Repulsion, Chaos and Equilibrium in Mixture Models

Andrea Cremaschi, Timothy M. Wertz, Maria De Iorio

Mixture models are commonly used in applications with heterogeneity and overdispersion in the population, as they allow the identification of subpopulations. In the Bayesian framew…