A detailed description including course's syllabus can be found at the link Details
- Asymptotic Theory (3 ects), P. Conti (Nov-Dec 2022)
- Introduction to graphical models and bayesian networks (3 ects), P. Vicard – L. Giammei (Nov-Dec 2022)
- Estimating real-world default probabilities (3 cfu), J. Giacomelli (Dec 2022)
- Real Analysis (3 ects), S. Creo (Jan-Feb 2023)
- Complex networks, G. Rotundo (Jan 2023)
- Tensorial methods (3 ects), P. Giordani (Feb 2023)
- La metodologia Monte Carlo per la valutazione di contratti finanziari e assicurativi, L. Passalacqua (Feb 2023 only Italian)
- Finite mixtures models - I (3 ects), R. Rocci (Mar 2023)
- Point Processes (3 ects) – V. Cammarota (Mar 2023)
- Modellizzazione e ottimizzazione di problemi di decisione con applicazioni in ambito finanziario e pensionistico (3 cfu), F. Ricca (Mar 2023)
- Statistics for (fuzzy) set-valued data (3 ects), A. Colubi (May 2023)
- (Fuzzy) clustering of complex data structures (3 ects), M. B. Ferraro (May 2023)
- Stochastic claim reserving (2 cfu), G.P. Clemente (May 2023)
- Probability for Data Science (3 ects), De Gregorio - Iafrate (June 2023)
- Climate Change Risk Management in Finance and Insurance (3 cfu), V. D'Amato; M. Carannante (Jun 2023)
- Artificial Neural Networks in actuarial science: theoretical framework and applications to Life and Non-Life Insurance modeling (2 cfu), M. Marino (July 2023)
- A gentle introduction to combinatorial stochastic processes (with applications to Physics, Finance and Economics). (3 ects) E. Scalas (July 2023)
- Bayesian designs for early-phase clinical trials (2 ects) R. Bugarini - V. Sambucini (July 2023)
- Advanced Data Analysis (4 ects), G. Jona Lasinio (Sep 2023)