A measure of criticality for a complex system in the context of non-extensive statistical mechanics

Autor: R. Rotondi and E. Varini

Publikováno v: Workshop on methods and applications of computational Uncertainty Quantification: experiences and perspectives within DIITET-CNR (UQ@DIITET/CNR Workshop), pp. 68–70, Online workshop, 02/10/2020
info:cnr-pdr/source/autori:R. Rotondi and E. Varini/congresso_nome:Workshop on methods and applications of computational Uncertainty Quantification: experiences and perspectives within DIITET-CNR (UQ@DIITET%2FCNR Workshop)/congresso_luogo:Online workshop/congresso_data:02%2F10%2F2020/anno:2021/pagina_da:68/pagina_a:70/intervallo_pagine:68–70

Probability distributions with power-law behaviours are observed in many complex systems, reflecting hierarchical or fractal structures. Statistical mechanics provides descriptions of these systems, also through approaches which generalize the classi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::d20b0a858225c2e5713d6f20e6b3978c
https://publications.cnr.it/doc/451989

Anisotropic attenuation of the macroseismic intensity

Autor: R. Rotondi and E. Varini

Publikováno v: GRASPA 2019 Biennial conference of the Italian research group for Environmental Statistics GRASPA-SIS, pp. 117–118, Pescara (I), 15/07/2019, 15-16/07/2019
info:cnr-pdr/source/autori:R. Rotondi and E. Varini/congresso_nome:GRASPA 2019 Biennial conference of the Italian research group for Environmental Statistics GRASPA-SIS/congresso_luogo:Pescara (I)/congresso_data:15%2F07%2F2019, 15-16%2F07%2F2019/anno:2019/pagina_da:117/pagina_a:118/intervallo_pagine:117–118
GRASPA 2019 Biennial conference of the Italian research group for Environmental Statistics GRASPA-SIS, Pescara (I), 15/07/2019, 15-16/07/2019
info:cnr-pdr/source/autori:R. Rotondi and E. Varini/congresso_nome:GRASPA 2019 Biennial conference of the Italian research group for Environmental Statistics GRASPA-SIS/congresso_luogo:Pescara (I)/congresso_data:15%2F07%2F2019, 15-16%2F07%2F2019/anno:2019/pagina_da:/pagina_a:/intervallo_pagine

Macroseismic intensity is a measure of the size of an earthquake in terms of the damages caused to the anthropic and natural environment; it is an ordinal quantity expressed through the twelve degrees of the macroseismic scale. The set of intensity v

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8679aa29d426b7824d4950bbfbcc6952
https://publications.cnr.it/doc/405382

On a failure process driven by a self-correcting model in seismic hazard assessment

Autor: R. Rotondi and E. Varini

Publikováno v: SIS 2017 Statistics and Data Science: new challenges, new generations, pp. 879–886, Firenze, Italia, 28-30/06/2017
info:cnr-pdr/source/autori:R. Rotondi and E. Varini/congresso_nome:SIS 2017 Statistics and Data Science: new challenges, new generations/congresso_luogo:Firenze, Italia/congresso_data:28-30%2F06%2F2017/anno:2017/pagina_da:879/pagina_a:886/intervallo_pagine:879–886

Two widely noted features of earthquake generation process are the following: a) earthquakes tend to occur in clusters, and b) fault ruptures that generate earthquakes decrease the amount of strain present along the fault and hence the probability th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::095712cf2dc8380b5cd9b5c7bec2bfb4
https://www.fupress.com/catalogo/sis-2017--statistics-and-data-science-new-challenges-new-generations/3407

On failure processes driven by a self-correcting model. Application to sequences of seismic events

Autor: R. Rotondi and E. Varini

Publikováno v: International Society for Bayesian Analysis (ISBA) 2016 World Meeting, pp. 401–402, Santa Margherita di Pula, Italy, 2016, June 13-17
info:cnr-pdr/source/autori:R. Rotondi and E. Varini/congresso_nome:International Society for Bayesian Analysis (ISBA) 2016 World Meeting/congresso_luogo:Santa Margherita di Pula, Italy/congresso_data:2016, June 13-17/anno:2016/pagina_da:401/pagina_a:402/intervallo_pagine:401–402

The long-term recurrence of strong earthquakes is often modelled by the stationary Poisson process for the sake of simplicity, although renewal and self-correcting point processes (with non-decreasing hazard functions) are more appropriate. Short-ter

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::6b2ca948ecd40ed47ed7f95e152a5348
https://publications.cnr.it/doc/356441

On the convolution of stochastic processes for modelling strong earthquake occurrences: a multi-rupture model driven by a self-correcting model

Autor: R. Rotondi and E. Varini

Publikováno v: 9th International Workshop on Statistical Seismology, Potsdam, Germany, 14-19/06/2015
info:cnr-pdr/source/autori:R. Rotondi and E. Varini/congresso_nome:9th International Workshop on Statistical Seismology/congresso_luogo:Potsdam, Germany/congresso_data:14-19%2F06%2F2015/anno:2015/pagina_da:/pagina_a:/intervallo_pagine

Two widely noted features of earthquake generation are the following: - earthquakes tend to occur in clusters, sometimes, but not only, referred as "swarms", "foreshocks activity" and "aftershocks activity"; - the fault ruptures that generate earthqu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::adf4e0ac85be5f76da3d7f8751780411
https://statsei9.quake.gfz-potsdam.de/doku.php?id=13_presentations:start