4 papers
Bayesian nonparametric modeling of multivariate count data with an unknown number of traits
Lorenzo Ghilotti, Federico Camerlenghi, Tommaso Rigon +1
Feature and trait allocation models are fundamental objects in Bayesian nonparametrics and play a prominent role in several applications. Existing approaches, however, typically as…
Repulsive Mixture Model with Projection Determinantal Point Process
Ziyi Song, Federico Camerlenghi, Weining Shen +2
In many scientific domains, clustering aims to reveal interpretable latent structure that reflects relevant subpopulations or processes. Widely used Bayesian mixture models for mod…
Nonparametric Bayesian analysis for the Galton-Watson process
Massimo Cannas, Michele Guindani, Nicola Piras
The Galton-Watson process is a model for population growth which assumes that individuals reproduce independently according to the same offspring distribution. Inference usually fo…
Quantifying Flow State Dynamics: A Prefrontal Cortex EEG-Based Model Validation Study. Unveiling the Prefrontal Cortex's Role in Flow State Experience: An Empirical EEG Analysis
Gianluca Rosso, Raffaella Ricci, Lorenzo Pia +5
This article aims to explore the optimization of mental performance through the analysis of metrics associated with the psychological state known as flow. Several clinical studies…