Zobrazeno 1 - 10
of 118
pro vyhledávání: '"giada adelfio"'
Publikováno v:
Sensors, Vol 22, Iss 24, p 9636 (2022)
In this paper, we propose a new approach based on the fitting of a generalized linear regression model in order to detect points of change in the variance of a multivariate-covariance Gaussian variable, where the variance function is piecewise consta
Externí odkaz:
https://doaj.org/article/eb3653a99206423eb4950ba28fc681cc
Publikováno v:
Applied Sciences, Vol 11, Iss 19, p 9143 (2021)
Chilean seismic activity is one of the strongest in the world. As already shown in previous papers, seismic activity can be usefully described by a space–time branching process, such as the ETAS (Epidemic Type Aftershock Sequences) model, which is
Externí odkaz:
https://doaj.org/article/6f7c43b6e73348f8bcc349fb9cbd3c79
Publikováno v:
Mathematics, Vol 9, Iss 19, p 2454 (2021)
This paper investigates the spatio-temporal spread pattern of COVID-19 in Italy, during the first wave of infections, from February to October 2020. Disease mappings of the virus infections by using the Besag–York–Mollié model and some spatio-te
Externí odkaz:
https://doaj.org/article/69edcc9422cf4807bb2ebe7f568e8f3a
Autor:
Marcello Chiodi, Giada Adelfio
Publikováno v:
Journal of Statistical Software, Vol 76, Iss 1, Pp 1-29 (2017)
etasFLP is an R package which fits an epidemic type aftershock sequence (ETAS) model to an earthquake catalog; non-parametric background seismicity can be estimated through a forward predictive likelihood approach, while parametric components of trig
Externí odkaz:
https://doaj.org/article/b36cd4d59b6e4a05ab438a63f88b1909
Publikováno v:
Statistical modelling, 1-30. Sage
STARTPAGE=1;ENDPAGE=30;ISSN=1471-082X;TITLE=Statistical modelling
STARTPAGE=1;ENDPAGE=30;ISSN=1471-082X;TITLE=Statistical modelling
Although there are recent developments for the analysis of first and second-order characteristics of point processes on networks, there are very few attempts in introducing models for network data. Motivated by the analysis of crime data in Bucaraman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3794a0230e94ad01b5c9418e2e37f74e
https://doi.org/10.1177/1471082x221094146
https://doi.org/10.1177/1471082x221094146
Autor:
Nicoletta D’Angelo, Andrea Di Benedetto, Giada Adelfio, Antonino D’Alessandro, Marcello Chiodi
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 36:2101-2113
In this paper, we propose a novel picking algorithm for the automatic P- and S-waves onset time determination. Our algorithm is based on the variance piecewise constant models of the earthquake waveforms. The effectiveness and robustness of our picki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32f7c44482fad6c36737d955e9a80766
https://doi.org/10.1007/s00477-022-02218-x
https://doi.org/10.1007/s00477-022-02218-x
A number of papers have dealt with the analysis of crime data using self-exciting point process theory after the analogy drawn between aftershock ETAS models and crime rate. With the aim to describe crime events that occurred in Valencia in the last
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::6bcc2556205bff3fb05bb05817d121cd
https://hdl.handle.net/10447/582810
https://hdl.handle.net/10447/582810
Autor:
Nicoletta D'Angelo, Giada Adelfio
In this paper, we exploit some theoretical results, from which we know the expected value of the K-function weighted by the true first-order intensity function of a point pattern. This theoretical result can serve as an estimation method for obtainin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::7c0f9794e87aef7b446ed2e6f43d7509
https://hdl.handle.net/10447/590773
https://hdl.handle.net/10447/590773
We introduce a family of local inhomogeneous mark-weighted summary statistics, of order two and higher, for general marked point processes. Depending on how the involved weight function is specified, these summary statistics capture different kinds o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5e326ca51f01357d528d618583c2cf3
https://hdl.handle.net/10447/587570
https://hdl.handle.net/10447/587570