Results 11 to 20 of about 1,128,515 (187)
Multivariate max-stable spatial processes [PDF]
Biometrika, 2015 SUMMARY Max-stable processes allow the spatial dependence of extremes to be modelled and quantified, so they are widely adopted in applications. For a better understanding of extremes, it may be useful to study several variables simultaneously. To this end, we study the maxima of independent replicates of multivariate processes, both in the Gaussian ...
Genton, Marc G. +2 more
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Atmosphere, 2020 Due to climate change, the Iberian Peninsula is suffering an increasing trend of extreme temperature events. The main objective of this study is to analyse this trends in frequency, duration and intensity of warm events and heat waves.
Javier Portero Serrano +2 more
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Jurnal Lebesgue, 2023 This research includes extreme spatial values. Application of the method with the Max-Stable (MSP) process. The approach will be used for the analysis of extreme rainfall in Medan City and Deli Serdang Regency.
Atika Nadila +1 more
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Likelihood-Based Inference for Max-Stable Processes [PDF]
Journal of the American Statistical Association, 2010 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 methods remain far from providing a complete and flexible framework for inference.
PADOAN, SIMONE, M. Ribatet, S. A. Sisson
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Journal 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
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Tail correlation functions of max-stable processes [PDF]
Extremes, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Strokorb, Kirstin +2 more
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Diagnostics, 2023 Long COVID patients show symptoms, such as fatigue, muscle weakness and pain. Adequate diagnostics are still lacking. Investigating muscle function might be a beneficial approach.
Laura V. Schaefer, Frank N. Bittmann
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On Extreme Value Analysis of a Spatial Process
Revstat Statistical Journal, 2008 One common way to deal with extreme value analysis in spatial statistics is by using the max-stable process. By employing a representation of simple max-stable processes in de Haan and Ferreira ([3]), we propose a stationary max-stable process as a ...
Laurens de Haan , Chen Zhou
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Membranes, 2021 The optimal operating conditions of a combined dissolved air flotation (DAF)-microfiltration (MF) process to respond to changes in raw water quality were investigated by operating a pilot plant for two years.
Joon-seok Kang +8 more
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Efficient estimation and particle filter for max‐stable processes [PDF]
Journal of Time Series Analysis, 2011 Extreme values are often correlated over time, for example, in a financial time series, and these values carry various risks. Max‐stable processes such as maxima of moving maxima (M3) processes have been recently considered in the literature to describe time‐dependent dynamics, which have been difficult to estimate.
Tsuyoshi Kunihama +2 more
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