Results 11 to 20 of about 1,552,101 (301)

Modeling Extreme Events: Time-Varying Extreme Tail Shape [PDF]

open access: yesSSRN Electronic Journal, 2020
A dynamic semi-parametric framework is proposed to study time variation in tail fatness of sovereign bond yield changes during the 2010--2012 euro area sovereign debt crisis measured at a high (15-minute) frequency. The framework builds on the Generalized Pareto Distribution (GPD) for modeling peaks over thresholds as in Extreme Value Theory, but casts
Schwaab, Bernd   +2 more
openaire   +5 more sources

Extreme solar events [PDF]

open access: yesLiving Reviews in Solar Physics, 2022
AbstractWe trace the evolution of research on extreme solar and solar-terrestrial events from the 1859 Carrington event to the rapid development of the last twenty years. Our focus is on the largest observed/inferred/theoretical cases of sunspot groups, flares on the Sun and Sun-like stars, coronal mass ejections, solar proton events, and geomagnetic ...
Edward W. Cliver   +3 more
openaire   +4 more sources

Human influence on historical heaviest precipitation events in the Yangtze River Valley

open access: yesEnvironmental Research Letters, 2023
With the recurrence of high-impact extreme events and the growing public demands to understand the causes of the events, event attribution has emerged as a frontier of climate change research.
Ziyue Wang   +6 more
doaj   +1 more source

Modeling Extreme Events: Time-Varying Extreme Tail Shape

open access: yesJournal of Business & Economic Statistics, 2023
We propose a dynamic semiparametric framework to study time variation in tail parameters. The framework builds on the Generalized Pareto Distribution (GPD) for modeling peaks over thresholds as in Extreme Value Theory, but casts the model in a conditional framework to allow for time-variation in the tail parameters.
Enzo D’Innocenzo   +3 more
openaire   +3 more sources

Extreme event quantification in dynamical systems with random components [PDF]

open access: yes, 2018
A central problem in uncertainty quantification is how to characterize the impact that our incomplete knowledge about models has on the predictions we make from them.
Dematteis, Giovanni   +2 more
core   +3 more sources

Extreme Quantum Advantage for Rare-Event Sampling [PDF]

open access: yes, 2017
We introduce a quantum algorithm for efficient biased sampling of the rare events generated by classical memoryful stochastic processes. We show that this quantum algorithm gives an extreme advantage over known classical biased sampling algorithms in ...
Aghamohammadi, C.   +3 more
core   +3 more sources

Preface: Extreme Hydrological Events [PDF]

open access: yesProceedings of the International Association of Hydrological Sciences, 2015

Cudennec, C.   +5 more
openaire   +5 more sources

Geomorphology of the Liera catchment (Dolomites, NE Italy): understanding landscape response to an extreme event

open access: yesJournal of Maps, 2023
Geomorphological field surveys and mapping have been carried out in a catchment of the Dolomites (eastern Italian Alps) as part of a research project aiming at the assessment of sediment availability for mass wasting in mountain environments.
Giorgia Macchi   +6 more
doaj   +1 more source

Active interseismic shallow deformation of the Pingting terraces (Longitudinal Valley – Eastern Taiwan) from UAV high-resolution topographic data combined with InSAR time series

open access: yesGeomatics, Natural Hazards & Risk, 2017
We focus herein on the location, characterization and the quantification of the most active structural feature of Taiwan: the Longitudinal Valley Fault that corresponds to the suture in between the Philippine and Eurasian Plates.
Benoît Deffontaines   +7 more
doaj   +1 more source

Analysis of human vulnerability to the extreme rainfall event on 21–22 July 2012 in Beijing, China [PDF]

open access: yesNatural Hazards and Earth System Sciences, 2013
The aim of this study is to characterize the extreme rainfall event on 21–22 July 2012 in Beijing, and its impact on human vulnerability. Based on the available meteorological and rainfall data from Beijing meteorological stations and Surface Weather ...
J. Liu, S.-Y. Wang
doaj   +1 more source

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