3 citations · 4 across the 3 of their papers we have counts for
3 papers
stat.ME2024
Statistical Jump Model for Mixed-Type Data with Missing Data Imputation
Federico P. Cortese, Antonio Pievatolo
In this paper, we address the challenge of clustering mixed-type data with temporal evolution by introducing the statistical jump model for mixed-type data. This novel framework in…
q-bio.PE2021★ 3 cited
A stochastic SIR model for the analysis of the COVID-19 Italian epidemic
Sara Pasquali, Antonio Pievatolo, Antonella Bodini +1
We propose a stochastic SIR model, specified as a system of stochastic differential equations, to analyse the data of the Italian COVID-19 epidemic, taking also into account the un…
stat.ME2013★ 1 cited
Bayesian estimation for a parametric Markov Renewal model applied to seismic data
I. Epifani, L. Ladelli, A. Pievatolo
This paper presents a complete methodology for Bayesian inference on a semi-Markov process, from the elicitation of the prior distribution, to the computation of posterior summarie…