Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Sebastian Engelke"'
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 16, Pp n/a-n/a (2023)
Abstract In June 2021, the Pacific Northwest experienced a heatwave that broke all previous records. Estimated return levels based on observations up to the year before the event suggested that reaching such high temperatures is not possible in today
Externí odkaz:
https://doaj.org/article/1acdb10d18ea42349a5ee13b6fed93d8
Autor:
Younes Boulaguiem, Jakob Zscheischler, Edoardo Vignotto, Karin van der Wiel, Sebastian Engelke
Publikováno v:
Environmental Data Science, Vol 1 (2022)
Modeling dependencies between climate extremes is important for climate risk assessment, for instance when allocating emergency management funds. In statistics, multivariate extreme value theory is often used to model spatial extremes. However, most
Externí odkaz:
https://doaj.org/article/b19c50d8c8284d2384e8afd36045f889
Publikováno v:
Weather and Climate Extremes, Vol 32, Iss , Pp 100318- (2021)
Identifying hidden spatial patterns that define sub-regions characterized by a similar behaviour is a central topic in statistical climatology. This task, often called regionalization, is helpful for recognizing areas in which the variables under con
Externí odkaz:
https://doaj.org/article/58ee36378ba74062826db0f91f88ae98
The issue of dependence and causality is fundamental for the study of compound events. Dependence measures are largely exploited in literature to study the interconnections among hazards and drivers. Classical dependence measures are symmetric, depen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1e2d433ef3b0c56909d13c0bc853f73
https://doi.org/10.5194/egusphere-egu23-14153
https://doi.org/10.5194/egusphere-egu23-14153
Extremal dependence describes the strength of correlation between the largest observations of two variables. It is usually measured with symmetric dependence coefficients that do not depend on the order of the variables. In many cases, there is a nat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c721525259408234f32cd132c9339877
https://doi.org/10.22541/essoar.167591093.37144821/v1
https://doi.org/10.22541/essoar.167591093.37144821/v1
Publikováno v:
2022 Winter Simulation Conference (WSC).
Autor:
Sebastian Engelke, Edoardo Vignotto
Publikováno v:
Extremes. 23:501-520
Classification tasks usually assume that all possible classes are present during the training phase. This is restrictive if the algorithm is used over a long time and possibly encounters samples from unknown new classes. It is therefore fundamental t
Autor:
Adrien S. Hitz, Sebastian Engelke
Publikováno v:
Journal of the Royal Statistical Society Series B: Statistical Methodology. 82:871-932
Summary Conditional independence, graphical models and sparsity are key notions for parsimonious statistical models and for understanding the structural relationships in the data. The theory of multivariate and spatial extremes describes the risk of
Publikováno v:
The Annals of Statistics. 49
Multivariate extreme value theory is concerned with modeling the joint tail behavior of several random variables. Existing work mostly focuses on asymptotic dependence, where the probability of observing a large value in one of the variables is of th
Publikováno v:
Biometrika. 106:127-144
SUMMARY The distribution of spatially aggregated data from a stochastic process $X$ may exhibit tail behaviour different from that of its marginal distributions. For a large class of aggregating functionals $\ell$ we introduce the $\ell$-extremal coe