Peer-reviewed articles

• Pittarello, G., Hiabu, M., & Villegas, A. M. (2025). Replicating and Extending Chain-Ladder via an Age–Period–Cohort Structure on the Claim Development in a Run-Off Triangle. North American Actuarial Journal, 1–31. arXiv:2301.03858.

• Bladt, M., & Pittarello, G. (2024). A novel approach for individual claims reserving based on the conditional Aalen-Johanson estimation. ASTIN Bulletin. arXiv:2311.07384.

• Pittarello, G., Luini, E., & Marchione, M. M. (2022). GEMAct: a Python package for non-life (re)insurance. Annals of Actuarial Science. arXiv:2303.01129.

Conference papers

• Giampino, A., & Pittarello, G. (2025). Modeling Time-to-Diagnosis from HIV Infection of Truncated Observations: An Applied Comparison of Survival Models. Statistical Science: From Theory to Applied Research I: SIS-FENStatS 2026, Short Papers.

Submitted manuscripts

• Lindholm, M., & Pittarello, G. (2025). Forecasting sub-population mortality using credibility theory. arXiv:2507.12330.

• Hiabu, M., Hofman, E. D., & Pittarello, G. (2023). A machine learning approach based on survival analysis for IBNR frequencies in non-life reserving. arXiv:2312.14549.

Technical reports

• Hiabu, M., Hofman, E. D., & Pittarello, G. (2025). Claim Counts Prediction Using Individual Data with ReSurv. CAS E-Forum.

Ph.D. thesis

• Pittarello, G. (2024). Advances in Claims Reserve Modelling. Catalogo IRIS.

Software

• Pittarello, G., Gerds, T., & Rytgaard, H. C. (2026). poissonsuperlearner (R package).

• Pittarello, G., Hiabu, M., & Hofman, E. (2023). ReSurv (R package).

• Pittarello, G., Hiabu, M., & Villegas, A. (2022). clmplus (R package).

• Pittarello, G., Luini, E., & Marchione, M. M. (2022). GEMAct (Python package).

Peer reviewer

• Annals of Operations Research
• ASTIN Bulletin: The Journal of the IAA
• Scandinavian Actuarial Journal
• Annals of Actuarial Science
• Frontiers in Public Health
• Insurance: Mathematics and Economics