Results 11 to 20 of about 266,344 (218)
ViroCon: A software to compute multivariate extremes using the environmental contour method
The environmental contour method is used by researchers and practitioners to define multivariate extremes of environmental conditions. These extreme conditions are then used to design or analyze marine structures.
Andreas F. Haselsteiner +4 more
doaj +1 more source
Weak convergence of the empirical copula process with respect to weighted metrics [PDF]
The empirical copula process plays a central role in the asymptotic analysis of many statistical procedures which are based on copulas or ranks. Among other applications, results regarding its weak convergence can be used to develop asymptotic theory for
Berghaus, Betina +2 more
core +2 more sources
Likelihood estimators for multivariate extremes [PDF]
The main approach to inference for multivariate extremes consists in approximating the joint upper tail of the observations by a parametric family arising in the limit for extreme events. The latter may be expressed in terms of componentwise maxima, high
Davison, Anthony C. +2 more
core +2 more sources
Likelihood-based inference for max-stable processes [PDF]
The last decade has seen max-stable processes emerge as a common tool for the statistical modeling of spatial extremes. However, their application is complicated due to the unavailability of the multivariate density function, and so likelihood-based ...
Padoan, Simone A. +2 more
core +6 more sources
Statistical Modeling of Spatial Extremes [PDF]
The areal modeling of the extremes of a natural process such as rainfall or temperature is important in environmental statistics; for example, understanding extreme areal rainfall is crucial in flood protection.
Davison, A. C. +2 more
core +7 more sources
Modeling pairwise dependencies in precipitation intensities [PDF]
In statistics, extreme events are classically defined as maxima over a block length (e.g. annual maxima of daily precipitation) or as exceedances above a given large threshold.
M. Vrac, P. Naveau, P. Drobinski
doaj
Large-sample tests of extreme-value dependence for multivariate copulas
Starting from the characterization of extreme-value copulas based on max-stability, large-sample tests of extreme-value dependence for multivariate copulas are studied.
Kojadinovic, Ivan +2 more
core +2 more sources
Spatial modeling of extreme snow depth
The spatial modeling of extreme snow is important for adequate risk management in Alpine and high altitude countries. A natural approach to such modeling is through the theory of max-stable processes, an infinite-dimensional extension of multivariate ...
Blanchet, Juliette, Davison, Anthony C.
core +1 more source
Asymptotically distribution-free goodness-of-fit testing for tail copulas [PDF]
Let $(X_1,Y_1),\ldots,(X_n,Y_n)$ be an i.i.d. sample from a bivariate distribution function that lies in the max-domain of attraction of an extreme value distribution.
Can, Sami Umut +3 more
core +3 more sources
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source

