C. Viscardi, A. Lachi, M. Baccini, “Discrete-time compartmental models with partially observed data: a comparison among frequentist and Bayesian approaches for addressing likelihood intractability” in Epidemiologic Methods, 14(1), 2025.
A. Lachi, C. Viscardi, G. Cereda, G. Carreras, M. Baccini, “A compartmental model for smoking dynamics in Italy: A pipeline for inference, validation, and forecasting under hypothetical scenarios” in BMC Medical Research Methodology, 24(148), 2024.
D. Prangle, C. Viscardi, “Distilling Importance Sampling for Likelihood Free Inference” in Journal of Computational and Graphical Statistics, 32(4), 2023.
G. Cereda, F. Corradi, C. Viscardi, “Learning the two parameters of the Poisson Dirichlet distribution with a forensic application” in Scandinavian Journal of Statistics, 50(1), 2023.
S. Monchetti, C. Viscardi, M. Betti, F. Clementi, “Comparison between Bayesian updating and approximate Bayesian computation for model identification of masonry towers through dynamic data” in Bulletin of Earthquake Engineering, 22 2023.
S. Monchetti, C. Viscardi, M. Betti, G. Bartoli, “Bayesian-based model updating using natural frequency data for historic masonry towers” in Probabilistic Engineering Mechanics, 70, 2022.
G. Cereda, C. Viscardi, M. Baccini, “Combining and comparing regional SARS-CoV-2 epidemic dynamics in Italy: Bayesian meta-analysis of compartmental models and global sensitivity analysis” in Frontiers in Public Health, 10, 2022.
C. Viscardi, M. Boreale and F. Corradi, “Weighted approximate Bayesian computation via Sanov’s theorem” in Computational Statistics, 36, 2021.
M. Baccini, G. Cereda and C. Viscardi, “The first wave of the SARS-CoV-2 epidemic in Tuscany (Italy): A SI2R2D compartmental model with uncertainty evaluation” in PLOS ONE, 16(4), 2021.
M. Boreale, F. Corradi and C. Viscardi, “Relative Privacy Threats and Learning From Anonymized Data” in IEEE Transactions on Information Forensics and Security, 15, 2020.
G. Cereda, C. Viscardi, A. Gottard, F. Mealli and M. Baccini, “Analisi e previsioni dell’epidemia da SARS-CoV-2 in Toscana” in Epidemiologia&Prevenzione, 44, 2020.
R. Ghioni, C. Viscardi, M. Lupparelli, “Approximate Bayesian Model Averaging and Forecasting of Autoregressive Models” in Statistics for Innovation III, Short papers SIS 2025, 2025.
S. Masini, C. Viscardi, M. Baccini, “Full Bayesian Reinforcement Learning via LF-IBIS” in Statistics for Innovation IV, Short papers SIS 2025, 2025.
C. Viscardi, A. Lachi, M. Baccini, "Bayesian Inference for Compartmental Models with Intractable Likelihood Function" in Methodological and Applied Statistics and Demography IV, Short papers SIS 2024, 2025.
C. Viscardi, S. Monchetti, L. Collodi, G. Bartoli, M. Betti, M. Boreale and F. Corradi, “Approximate Bayesian Computation for Probabilistic Damage Identification” in SEAS IN Book of short papers SIS 2023, 2023.
A. Lachi, C. Viscardi, M. Baccini, “Approximate Bayesian Inference for Smoking Habit Dynamics in Tuscany” in Bayesian Statistics, New Generations New Approaches, 2023.
G. Cereda, F. Corradi, C. Viscardi, “Comparing Soft Classification Methods for the Rare Type Match Problem” in Book of Abstracts and Short Papers - 14th Scientific Meeting of the Classification and Data Analysis Group, 2023.
G. Cereda, F. Corradi, C. Viscardi, “Exploiting partial knowledge to evaluate the average causal effect via an ABC perspective” in Book of the Short Papers SIS 2022, 2022, pp. 914-919.
A. Lachi, C. Viscardi, M.C. Malevolti, G. Carreras, M. Baccini, “Compartmental models in epidemiology: Application on Smoking Habits in Tuscany” in Book of the Short Papers SIS 2022, 2022.
C. Viscardi, F. Corradi, M. Boreale and A. Mira, “Inference on Markov chains parameters via Large Deviations ABC ” in Book of short papers SIS 2021, 2021.
C. Viscardi, M. Boreale and F. Corradi, “Improving ABC via Large Deviations Theory” in Book of short papers SIS 2020, 2020.