2 papers
stat.CO2025
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…
stat.ME2024
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…