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Likelihood-based inference for max-stable processes [PDF]

open access: yesJournal of the American Statistical Association, 2009
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   +11 more sources

Conditional simulation of max-stable processes [PDF]

open access: yesBiometrika, 2012
Since many environmental processes such as heat waves or precipitation are spatial in extent, it is likely that a single extreme event affects several locations and the areal modelling of extremes is therefore essential if the spatial dependence of ...
Dombry, Clément   +2 more
core   +5 more sources

Representations of max-stable processes via exponential tilting [PDF]

open access: yesStochastic Processes and their Applications, 2017
The recent contribution Dieker & Mikosch (2015) [1] obtained important representations of max-stable stationary Brown-Resnick random fields ζZ with a spectral representation determined by a Gaussian process Z.
Hashorva, E.
core   +5 more sources

On Extremal Index of max-stable stationary processes

open access: yesProbability and Mathematical Statistics, 2017
In this contribution we discuss the relation between Pickands-type constants defined for certain Brown-Resnick stationary process $W(t),t\in R$ as $$\mathcal{H}_W^\delta= \lim_{T\to\infty} T^{-1} E{ \left(\sup_{t\in \delta Z \cap [0,T]} e^{W(t)}\right) },
Dębicki, Krzysztof, Hashorva, Enkelejd
core   +4 more sources

Spatial risk measures and applications to max-stable processes [PDF]

open access: yesExtremes, 2016
The risk of extreme environmental events is of great importance for both the authorities and the insurance industry. This paper concerns risk measures in a spatial setting, in order to introduce the spatial features of damages stemming from environmental
Koch, Erwan
core   +4 more sources

Quantitative structure activity relationship (QSAR) modeling for adsorption of organic compounds by activated carbon based on Freundlich adsorption isotherm. [PDF]

open access: yesPLoS ONE
The Freundlich isotherm parameters K and 1/n are typically regarded as empirical constants. However, the underlying theoretical basis for the widespread applicability of the Freundlich isotherm in describing adsorption processes for diverse organic ...
Siyi Ding   +9 more
doaj   +2 more sources

(G, λ)-Extremal Processes and Their Relationship with Max-Stable Processes [PDF]

open access: yes, 2007
2000 Mathematics Subject Classification: 60G70, 60G18.The study of G-extremal processes was initiated by S. Resnick and M. Rubinovich (1973). Here we transform these processes by a non-decreasing and right-continuous function λ : [0, ∞) → [0, ∞) and ...
Kalcheva Jordanova, Pavlina
core   +2 more sources

Multivariate max-stable processes and homogeneous functionals [PDF]

open access: yesStatistics & Probability Letters, 2021
Multivariate max-stable processes are important for both theoretical investigations and various statistical applications motivated by the fact that these are limiting processes, for instance of stationary multivariate regularly varying time series, [1].
Hashorva, Enkelejd, Kume, Alfred
openaire   +4 more sources

Stochastic modeling of spatial dependency structures of extreme precipitation in the Northern Great Plains using max-stable processes

open access: yesJournal of Water and Climate Change, 2023
The objective of this study is to quantify the spatial dependency and trend of annual maxima precipitation (annual highest daily precipitation, from 1970 to 2020) across selected weather stations in the Nelson Churchill River Basin (NCRB) of North ...
Alaba Boluwade
doaj   +1 more source

Multivariate extremes and max-stable processes: discussion of the paper by Zhengjun Zhang

open access: yesStatistical Theory and Related Fields, 2021
This discussion reviews the paper by Zhengjun Zhang in the context of broader research on multivariate extreme value theory and max-stable processes.
R. L. Smith
doaj   +1 more source

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