4 papers
Nonparametric Bayesian inference for the Gini-Simpson index
Pier Giovanni Bissiri, Riccardo Corradin, Andrea Ongaro
Many statistical problems concern the analysis of species distributions or, more generally, of discrete labeled quantities. Assessing species diversity constitutes a key step towar…
BayesChange: an R package for Bayesian Change Point Analysis
Luca Danese, Riccardo Corradin, Andrea Ongaro
We introduce BayesChange, a computationally efficient R package, built on C++, for Bayesian change point detection and clustering of observations sharing common change points. Whil…
Model-based clustering of time-dependent observations with common structural changes
Riccardo Corradin, Luca Danese, Wasiur R. KhudaBukhsh +1
We propose a novel model-based clustering approach for samples of time series. We assume as a unique commonality that two observations belong to the same group if structural change…
Nested Compound Random Measures
Federico Camerlenghi, Riccardo Corradin, Andrea Ongaro
Nested nonparametric processes are vectors of random probability measures widely used in the Bayesian literature to model the dependence across distinct, though related, groups of…