2 papers
stat.ME2025
Confidence set for mixture order selection
Alessandro Casa, Davide Ferrari
A fundamental challenge in approximating an unknown density using finite Gaussian mixture models is selecting the number of mixture components, also known as order. Traditional app…
stat.ME2025
Addressing Phase Discrepancies in Functional Data: A Bayesian Approach for Accurate Alignment and Smoothing
Jacopo Gardella, Raffaele Argiento, Alessandro Casa +1
In many real-world applications, functional data exhibit considerable variability in both amplitude and phase. This is especially true in biomechanical data such as the knee flexio…