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pro vyhledávání: '"Martini, Tommaso"'
In the case of finite measures on finite spaces, we state conditions under which $\phi$-projections are continuously differentiable. When the set on which one wishes to $\phi$-project is convex, we show that the required assumptions are implied by ea
Externí odkaz:
http://arxiv.org/abs/2407.05997
Autor:
Baiamonte, Giorgio, Agnese, Carmelo, Cammalleri, Carmelo, Di Nardo, Elvira, Ferraris, Stefano, Martini, Tommaso
The modelling of the occurrence of rainfall dry and wet spells (ds and ws, respectively) can be jointly conveyed using the inter-arrival times (it). While the modelling of it has the advantage of requiring a single fitting for the description of all
Externí odkaz:
http://arxiv.org/abs/2402.02016
In this paper we analyze a method for approximating the first-passage time density and the corresponding distribution function for a CIR process. This approximation is obtained by truncating a series expansion involving the generalized Laguerre polyn
Externí odkaz:
http://arxiv.org/abs/2402.00833
Autor:
Kojadinovic, Ivan, Martini, Tommaso
After reviewing a large body of literature on the modeling of bivariate discrete distributions with finite support, \cite{Gee20} made a compelling case for the use of $I$-projections in the sense of \cite{Csi75} as a sound way to attempt to decompose
Externí odkaz:
http://arxiv.org/abs/2307.04225
This paper analyzes a method to approximate the first passage time probability density function which turns to be particularly useful if only sample data are available. The method relies on a Laguerre-Gamma polynomial approximation and iteratively lo
Externí odkaz:
http://arxiv.org/abs/2206.02137
Publikováno v:
In Communications in Nonlinear Science and Numerical Simulation April 2023 118
Akademický článek
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Akademický článek
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Autor:
Maglogiannis, Ilias, Karpouzis, Kostas, Bramer, Max, Bellini, Pierfrancesco, Chellini, Sauro, Martini, Tommaso, Nesi, Paolo, Rogai, Davide, Vallotti, Andrea
Publikováno v:
Artificial Intelligence Applications & Innovations (9780387342238); 2006, p697-704, 8p
Analysis of daily rainfall data, and subsequent modelling of some derived variables concerning rainfall, is fundamental in different areas such as agricultural, ecological, and engineering disciplines. A way of studying the alternance of consecutive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c81e8e1a4fcfc03fbf6d4402fd1ba157
https://doi.org/10.5194/egusphere-egu23-1314
https://doi.org/10.5194/egusphere-egu23-1314