1 citations · 1 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
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 clustering of high-dimensional data via latent repulsive mixtures
Lorenzo Ghilotti, Mario Beraha, Alessandra Guglielmi
Model-based clustering of moderate or large dimensional data is notoriously difficult. We propose a model for simultaneous dimensionality reduction and clustering by assuming a mix…
The Multivariate Bernoulli detector: Change point estimation in discrete survival analysis
Willem van den Boom, Maria De Iorio, Fang Qian +1
Time-to-event data are often recorded on a discrete scale with multiple, competing risks as potential causes for the event. In this context, application of continuous survival anal…