Tommaso Martini - Publications

Preprints

Statistics and Probability

Ivan Kojadinovic, Tommaso Martini. An iterated I-projection procedure for solving the generalized minimum information checkerboard copula problem (2025), submitted to the Journal of Multivariate Analysis, arXiv:2509.02829 [math.PR]
Gery Geenens, Ivan Kojadinovic, Tommaso Martini. The empirical discrete copula process (2025), submitted to Bernoulli, arXiv:2506.12316v1 [math.ST]
Gery Geenens, Ivan Kojadinovic, Tommaso Martini. On the Differentiability of φ-projections in the discrete finite case (2024), submitted to the Annals of the Institute of Statistical Mathematics, arXiv:2407.05997v1 [math.ST], accepted for publication

Hydrological Data Analysis and Modeling

Tommaso Martini, Aurora Olivero, Alessio Gentile, Davide Gisolo, Stefano Ferraris. From near surface to root zone soil water losses: a new model validated with field TDR and remotely sensed data (2025), submitted to the Journal of Hydrology, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5648370
Carmelo Agnese, Giorgio Baiamonte, Carmelo Cammalleri, Elvira Di Nardo, Stefano Ferraris, Tommaso Martini. Analysis of the dependence of daily rainfall depth on wet spell duration across Europe (2025), submitted to the Journal of Hydrology

Publications

Statistics and Probability

Ivan Kojadinovic and Tommaso Martini (2024). Copula-like inference for discrete bivariate distributions with rectangular supports, Electronic Journal of Statistics 18 (1), 2571–2619
Elvira Di Nardo, Giuseppe D’Onofrio and Tommaso Martini (2024). Orthogonal gamma-based expansion for the cir’s first passage time distribution, Applied Mathematics and Computation 480, 128911
Elvira Di Nardo, Giuseppe D’Onofrio, Tommaso Martini (2023), Approximating the first passage time density from data using generalized Laguerre polynomials, Communications in Nonlinear Science and Numerical Simulation, Volume 118, 2023, 106991, ISSN 1007-5704

Hydrological Data Analysis and Modeling

Giorgio Baiamonte, Carmelo Agnese, Carmelo Cammalleri, Elvira Di Nardo, Stefano Ferraris and Tommaso Martini (2024). Applying different methods to model dry and wet spells at daily scale in a large range of rainfall regimes across Europe, Advances in Statistical Climatology, Meteorology and Oceanography, 10, 51–67, https://doi.org/10.5194/ascmo-10- 51-2024
C. Agnese, G. Baiamonte, E. Di Nardo, S. Ferraris, Tommaso Martini (2022), Modelling the Frequency of Interarrival Times and Rainfall Depths with the Poisson Hurwitz-Lerch Zeta Distribution. Fractal Fract. 6(9), 509. doi.org/10.3390/fractalfract6090509

PhD Thesis:

Tommaso Martini (19 december 2024). Statistical and Probabilistic Approaches to Hydrological Data Analysis: Rainfall Patterns, Copula-like Models and First Passage Time Approximations, https://iris.unito.it/handle/2318/2043022

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