GNGTS 2023 - Atti del 41° Convegno Nazionale

Session 2.1 GNGTS 2023 References Allan DW (1966) Statistics of atomic frequency standards . Proceedings of the IEEE 54, 221-230. Benali A, Peresan A, Varini E, Talbi A (2020) Modelling background seismicity components identified by nearest neighbour and stochastic declustering approaches: The case of Northeastern Italy . Stoch. Environ. Res. Risk Assess., 34 (6), 775-791. Benali A, Peresan A, Varini E (2022) Spatiotemporal analysis of catalogues declustered by different methods in Northeastern Italy region , in Proceedings of the Third European Conference on Earthquake Engineering and Seismology - 3ECEES (Bucharest, Romania, 4-9 September 2022), 3922-3929. Morisita M (1959) Measuring of the dispersion of individuals and analysis of the distributional patterns . Mem. Fac. Sci. Kyushu Univ. Ser. E, 2 (4), 215-235. Ogata Y (1998) Space-time point process models for earthquake occurrences . Ann. Inst. Stat. Math., 50 (2), 379-402. Rydén T (1996) An EM algorithm for estimation in Markov–modulated Poisson processes . Comput. Stat. Data Anal., 21, 431-447. Zaliapin I, Ben-Zion Y (2016) A global classification and characterization of earthquake clusters . Geophys. J. Int., 207 (1), 608-634. Zhuang J, Ogata Y, Vere-Jones D (2004) Analyzing earthquake clustering features by using stochastic reconstruction . J. Geophys. Res., 109 (3), B05301.