Research interests

My research focuses on topics such as:

• Robust Statistics
• Directional Statistics
• Kernel Methods
• Machine Learning
• Neural Networks
• Statistics for Neuroscience

Publications

• Saraceno, G., Vidyashankar, A.N., Agostinelli, C. (2025), Generative Adversarial Network Methods with Hellinger-type Loss. arXiv:2512.12267. pdf📄

• Saraceno, G. (2025), Kernel-Based Quadratic Distance Testing: Sensitivity and Robustness. In: di Bella, E., Gioia, V., Lagazio, C., Zaccarin, S. (eds) Statistics for Innovation IV. SIS 2025. Italian Statistical Society Series on Advances in Statistics, Springer, Cham. doi.org/10.1007/978-3-031-96033-8_51

• Saraceno G., Mukhopadhyay R., Markatou M. (2025), QuadratiK: A Python and R package for Clustering on the Sphere and Goodness-of-Fit tests, SoftwareX, vol. 31, 102155, ISSN: 2352-7110, doi.org/10.1016/j.softx.2025.102155. pdf📄

• Ding Y., Markatou M., Saraceno G. (2025), Poisson Kernel-Based Tests for Uniformity on the d-Dimensional Sphere, Statistica Sinica, vol.35, p. 1-23, ISSN:1017-0405, doi:10.5705/ss.202022.0347. pdf📄

• Markatou, M. and Saraceno, G. (2024). A Unified Framework for Multivariate Two- and k-Sample Kernel-based Quadratic Distance Goodness-of-Fit Tests. arXiv:2407.16374. pdf📄

• Talal A.H., Mukhopadhyay R., Veronesi V., Dharia A., Saraceno G., Markatou M. (2024), Improved Social Outcomes after Integrated Opioid Use Disorder and Hepatitis C Virus Treatment through Facilitated Telemedicine, Submitted.

• Saraceno G., Markatou M., Mukhopadhyay R., Golzy M. (2024), Goodness-of-Fit and Clustering of Spherical Data: the Quadratik package in R and Python., arXiv.2402.02290. pdf📄

• Greco L., Agostinelli C. and Saraceno G. (2024), Weighted Likelihood Methods for Robust Fitting of Wrapped Models for p-torus Data, AStA - Advances in Statistical Analysis, doi.org/10.1007/s10182-024-00494-2. pdf📄

• Saraceno G., Ghosh A., Basu A., Agostinelli C. (2023), Robust Estimation of fixed effect parameters and variances of linear mixed models: the minimum density power divergence approach, AStA - Advances in Statistical Analysis, doi:10.1007/s10182-023-00473-z. pdf📄

• Saraceno G. and Agostinelli C. (2022), Case-Wise and Cell-Wise Outliers Detection Based on Statistical Depth Filters. In: García-Escudero, L.A., et al. Building Bridges between Soft and Statistical Methodologies for Data Science. SMPS 2022. Advances in Intelligent Systems and Computing, vol 1433, Springer, 343–349. doi:10.1007/978-3-031-15509-3_45

• Saraceno G. and Agostinelli C. (2021), Robust Multivariate Estimation Based On Statistical Depth Filters, TEST, 30, 935–959. doi:10.1007/s11749-021-00757-z. pdf📄

• Saraceno G., Agostinelli C. and Greco L. (2021), Robust estimation for multivariate wrapped models, METRON, 79, 225–240. doi:10.1007/s40300-021-00214-9. pdf📄

• Greco L., Saraceno G. and Agostinelli C. (2021), Robust Fitting of a Wrapped Normal model to Multivariate Circular Data and Outlier Detection, Stat, 4(2), 454-471. doi:10.3390/stats4020028. pdf📄

• Agostinelli C., Saraceno G. and Greco L. (2021), Robust Issues in Estimating Models for Multivariate Torus Data. In: (a cura di): Giovanni Camillo Porzio Carla Rampichini Chiara Bocci, CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS, p. 21-24, ISBN: 978-88-5518-340-6, Firenze, Italy, September 9-11, 2021 doi.org/10.36253/978-88-5518-340-6.

• Saraceno G., Alqallaf F., Agostinelli C. (2021), A Robust Seemingly Unrelated Regressions For Row-Wise And Cell-Wise Contamination, arXiv:2107.00975. pdf📄

Conferences

Invited

• Saraceno, G. and Veronesi V., Exploring Climate Patterns via Poisson Kernel-Based Clustering, 15-17/09/2025, Roma, Italy - GRASPA 2025 (Gruppo di Ricerca per le Applicazioni della Statistica ai Problemi Ambientali)

• Saraceno, G., Vidyashankar, A.N., Agostinelli, C., Generative Adversarial Network Methods with Hellinger Loss, 19-23/05/2025, Stresa, Italy - ICORS 2025 (International Conference on Robust Statistics)

• Saraceno, G., The robustness of the two- and k-sample kernel-based quadratic distance tests, (joint work with Marianthi Markatou), 29/07-02/08/2024, Fairfax, VA, USA - ICORS (International Conference on Robust Statistics) and DSSV (Conference on Data Science, Statistics and Visualization)

• Saraceno, G., Vidyashankar, A.N., Agostinelli, C., Generative Adversarial Network Methods with Hellinger Loss, 17-21/07/2023, Pittsburgh (USA) - Poster presented at the Working Group on Model-based Clustering

• Agostinelli, C., Saraceno, G., Greco, L., Robust Issues in Estimating Models for Multivariate Torus Data, 09-11/09/2021, Firenze (Italy) - CLADAG 2021, 13-th Scientific Meeting, Classification and Data Analysis Group

Contributed

• Saraceno, G., Robust hypothesis testing via Quadratic Distances, 16-18/06/2025, Genova, Italy - SIS2025, Italian Statistical Society Conference on Statistics for Innovation

• Saraceno G., Markatou M., QuadratiK: A Comprehensive Tool for Goodness-of-Fit Tests and Spherical Data Clustering, 12-13/04/2024, Rochester, NY (USA) - UPSTAT, Upstate New York Statistics Conference

• Saraceno G., Markatou M., Poisson Kernel-Based Tests for Uniformity on the d-dimensional Sphere with the QuadratiK package, 18-21/12/2023, Lisbon (Portugal) - ICSDS2023, the 2023 IMS Conference on Statistics and Data Science

• Saraceno G., Markatou M., Goodness-of-fit and clustering of spherical and directional data: A comprehensive R package, 22-25/08/2023, London (UK) - COMPSTAT2023, the 25th International Conference on Computational Statistics

• Saraceno G., Markatou M., A unified framework for two-sample and k- sample quadratic distance goodness-of-fit tests, 5-10/08/2023, Toronto (Ontario, Canada) Contributed paper at JSM, Joint Statistical Meeting

• Saraceno G., Markatou M., Ding Y., Poisson Kernel-Based Tests for Uniformity on the d-Dimensional Torus and Sphere, 21-22/04/2023, Rochester, NY (USA) - UPSTAT, Upstate New York Statistics Conference

• Saraceno G., Agostinelli C., Case-wise and cell-wise outliers detection based on statistical depth filters, 14-16/09/2022, Valladolid (Spain) - SMPS 2022, 10th International conference on Soft Methods in Probability and Statistics

• Saraceno G., Greco L., Agostinelli C., Robust classification for Toroidal data, 20-24/07/2022, Porto (Portugal) - IFCS 2022, Classification and Data Science in the Digital Age - 17th conference of the International Federation of Classification Societies

• Saraceno G., Ghosh A., Basu A., Agostinelli C., Robust estimation under Linear Mixed Models: a Minimum Density Power Divergence approach, 20-24/09/2021, Vienna (Austria) - ICORS 2021, International Conference on Robust Statistics

• Saraceno G., Agostinelli C., Robust Multivariate Estimation based on Statistical Depth Filter, 22-26/07/2019, Palermo (Italy) - Poster at the European Meeting of Statisticians

• Saraceno, G., Lauria, M., Predictive biomarker of response to seasonal influenza vaccination, 16-18/06/2018, Napoli (Italy) - Poster at the 12th seminar of SIBBM - Italian Society of Biophysics and Molecular Biology