Publications

Working papers

• Alamichel, Gaffi, Rigon & Durante. Enriched stochastic block models.

• Ghidini, Franzolini, Gaffi & Durante. Multiplex exchangeability for stochastic block models.

• Franzolini & Gaffi. Scalable and exact hybrid sampling for hierarchical Dirichlet process-based models.

• Gaffi, Franzolini, Josephs & Lin. Dependent random partitions for data integration in networks.

• Franzolini & Gaffi. An invariance-based approach to node clustering in dynamic networks.

• Gaffi, Lijoi & Prünster. Transition probabilities of continual Young diagrams and Dirichlet random means.

Preprints

• Gaffi, Josephs & Lin (2026)
  Exchangeable random permutations with an application to Bayesian graph matching
  [arxiv] [code]

Refereed papers

• Franzolini & Gaffi (2026)
  Complexity bounds for Dirichlet process slice samplers
  43rd International Conference on Machine Learning, to appear
  [arxiv] [code]

• Durante, Gaffi, Lijoi & Prünster (2025)
  Partially exchangeable stochastic block models for (node-colored) multilayer networks
  Journal of the American Statistical Association - Theory and Methods
  [arxiv] [code] [award] [press]

• Gaffi, Lijoi & Prünster (2025)
  Random probability measures with fixed mean distributions
  Annals of Applied Probability

Refereed short papers, book chapters and discussions

• Gaffi & Franzolini (2026)
  Contributed discussion on “Robust Probabilistic Inference via a Constrained Transport Metric” by Chakraborty, Bhattacharya & Pati
  Bayesian Analysis

• Gaffi (2026)
  Conditionally partially exchangeable partitions for dynamic networks
  In New Trends in Bayesian Statistics (BaYSM2023), Springer Proceedings in Mathematics and Statistics

• Catalano & Gaffi (2025)
  Contributed discussion on “A tree perspective on stick-breaking models in covariate-dependent mixtures” by Horiguchi, Chan & Ma
  Bayesian Analysis

• Gaffi (2025)
  Modeling multiple node-colored networks with partial exchangeability
  In Statistics for Innovation (SIS2025), Italian Statistical Society Series on Advances in Statistics, Springer

• Gaffi, Lijoi & Prünster (2022)
  Specification of the base measure of nonparametric priors via random means
  In New Frontiers in Bayesian Statistics (BaYSM2021), Springer Proceedings in Mathematics and Statistics

Editorial work

I serve as a reviewer for:
Bayesian Analysis
Electronic Journal of Statistics
Journal of Econometrics
Journal of the American Statistical Association
Statistics and Probability Letters
Stochastic Processes and their Applications

I was a committee member for the 2024 and 2026 ASA-SBSS Student Paper Award.

Scientific societies

I am a member of the International Society for Bayesian Analysis (ISBA), the Bayesian nonparamterics section of ISBA (BNP-ISBA), the junior section of ISBA (j-ISBA), the Institute of Mathematical Statistics (IMS), and the Italian Statistical Society (SIS).

In 2026, I serve as Chair-Elect of j-ISBA.

Research networks

• External affiliate of the Bayesian learning laboratory (BayesLab), in Bocconi Institute for Data Science and Analytics (BIDSA)
• Member of the Complex Data Modeling Research Network, led by MiDaS