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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…
stat.ME2024
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…