Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Elena Di Bernardino"'
Publikováno v:
Environmental Research Letters, Vol 18, Iss 4, p 044038 (2023)
The percentage of wildfires that are ignited by an undetermined origin is substantial in Europe and Mediterranean France. Forest fire experts have recognized the significance of fires with an unknown ignition source since documentation and research o
Externí odkaz:
https://doaj.org/article/61664162f9dd4b14b44ec95061436164
Publikováno v:
Environmetrics. 34
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6639b54288c5b66e1dfbae409b3d3279
https://doi.org/10.1002/env.2795
https://doi.org/10.1002/env.2795
Publikováno v:
Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences, 2022, 22 (4), pp.1181-1200. ⟨10.5194/nhess-22-1181-2022⟩
Natural Hazards and Earth System Sciences, 2022, 22 (4), pp.1181-1200. ⟨10.5194/nhess-22-1181-2022⟩
Forest fires burn an average of about 440 000 ha each year in southern Europe. These fires cause numerous casualties and deaths and destroy houses and other infrastructure. In order to elaborate on suitable firefighting strategies, complex interactio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0f5aca004aa0fdea684fcf968863cf0
https://nhess.copernicus.org/articles/22/1181/2022/
https://nhess.copernicus.org/articles/22/1181/2022/
Publikováno v:
Advances in Forest Fire Research 2022
Advances in Forest Fire Research 2022, 1.ª Edição, Imprensa da Universidade de Coimbra, pp.1106-1112, 2022, ⟨10.14195/978-989-26-2298-9_167⟩
Advances in Forest Fire Research 2022 ISBN: 9789892622989
Advances in Forest Fire Research 2022, 1.ª Edição, Imprensa da Universidade de Coimbra, pp.1106-1112, 2022, ⟨10.14195/978-989-26-2298-9_167⟩
Advances in Forest Fire Research 2022 ISBN: 9789892622989
International audience; Knowledge on fire ignition causes and their spatiotemporal patterns can greatly enhance the efficiency of fire management and fire strategies. In France, the majority of forest fire research is based on a 2x2 km gridded databa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21962acbb30f29d7883c235a69d89ba4
https://hal.science/hal-03845185
https://hal.science/hal-03845185
Forest fires burn an average of about 440,000 ha each year in southern Europe. These fires cause numerous casualties and deaths and destroy houses and other infrastructures. In order to elaborate suitable fire-fighting strategies, complex interaction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::960cb926cc2e1e291292a3be36eb3984
https://nhess.copernicus.org/preprints/nhess-2021-174/
https://nhess.copernicus.org/preprints/nhess-2021-174/
Publikováno v:
Communications in Statistics - Theory and Methods. 49:5504-5534
In multivariate extreme value theory (MEVT), the focus is on analysis outside of the observable sampling zone, which implies that the region of interest is associated to high risk levels. This work provides tools to include directional notions into t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d962389df47a70df119a9f00567ff0f
https://doi.org/10.1080/03610926.2019.1619770
https://doi.org/10.1080/03610926.2019.1619770
Publikováno v:
Journal of Multivariate Analysis
Journal of Multivariate Analysis, Elsevier, 2021, 184, ⟨10.1016/j.jmva.2021.104758⟩
Journal of Multivariate Analysis, Elsevier, 2021, 184, ⟨10.1016/j.jmva.2021.104758⟩
International audience; This paper focuses on semi-parametric estimation of multivariate expectiles for extreme levels of risk. Multivariate expectiles and their extremes have been the focus of plentiful research in recent years. In particular, it ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d6d43b5d61f8873503d0fafe4a24f27
https://hal.archives-ouvertes.fr/hal-03347188/document
https://hal.archives-ouvertes.fr/hal-03347188/document
Publikováno v:
ESAIM: Probability and Statistics
ESAIM: Probability and Statistics, EDP Sciences, 2020, 24, pp.252-274. ⟨10.1051/ps/2020002⟩
ESAIM: Probability and Statistics, EDP Sciences, 2020, 24, pp.252-274. ⟨10.1051/ps/2020002⟩
We investigate Lipschitz-Killing curvatures for excursion sets of random fields on ℝ2under a very specific perturbation, namely a small spatial-invariant random perturbation with zero mean. An expansion formula for mean curvatures is derived when t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::644f78c69f0d944ca26370dbf1ad6dee
https://hal.archives-ouvertes.fr/hal-02904016
https://hal.archives-ouvertes.fr/hal-02904016
Autor:
Elena Di Bernardino, Céline Duval
Publikováno v:
Scandinavian Journal of Statistics
Scandinavian Journal of Statistics, Wiley, In press, ⟨10.1111/sjos.12500⟩
Scandinavian Journal of Statistics, Wiley, In press, ⟨10.1111/sjos.12500⟩
In this paper we study some statistics linked to the average of Lipschitz-Killing (LK) curvatures of the excursion set of a stationary non-standard isotropic Gaussian field X on R 2. Under this hypothesis of unknown location and scale parameters of X
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::494b748327b934d8e382ffede512345c
https://hal.archives-ouvertes.fr/hal-02317747
https://hal.archives-ouvertes.fr/hal-02317747
Publikováno v:
Electronic Journal of Statistics
Electronic Journal of Statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2019, 13, pp.536-581. ⟨10.1214/19-ejs1530⟩
Electron. J. Statist. 13, no. 1 (2019), 536-581
Electronic Journal of Statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2019, 13, pp.536-581. ⟨10.1214/19-ejs1530⟩
Electron. J. Statist. 13, no. 1 (2019), 536-581
International audience; In the present paper we study three geometrical characteristics for the excursion sets of a two-dimensional stationary isotropic random field. First, we show that these characteristics can be estimated without bias if the cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cf6d8e6627725668a0bda40b2bb65e8
https://hal.archives-ouvertes.fr/hal-01763060
https://hal.archives-ouvertes.fr/hal-01763060