Zobrazeno 1 - 10
of 184
pro vyhledávání: '"Castro, Camilo A."'
The rapid growth of quantum computing in the last few years has led many countries to make relevant public investments in that field. However, Colombia lacks any investment or legislation in this area. Most previous studies have focused on other coun
Externí odkaz:
http://arxiv.org/abs/2409.00059
Geostatistical models for multivariate applications such as heavy metal soil contamination work under Gaussian assumptions and may result in underestimated extreme values and misleading risk assessments (Marchant et al, 2011). A more suitable framewo
Externí odkaz:
http://arxiv.org/abs/2402.14624
Impact assessment of natural hazards requires the consideration of both extreme and non-extreme events. Extensive research has been conducted on the joint modeling of bulk and tail in univariate settings; however, the corresponding body of research i
Externí odkaz:
http://arxiv.org/abs/2401.15703
The generalised extreme value (GEV) distribution is a three parameter family that describes the asymptotic behaviour of properly renormalised maxima of a sequence of independent and identically distributed random variables. If the shape parameter $\x
Externí odkaz:
http://arxiv.org/abs/2106.13110
A new method is proposed for modelling the yearly maxima of sub-daily precipitation, with the aim of producing spatial maps of return level estimates. Yearly precipitation maxima are modelled using a Bayesian hierarchical model with a latent Gaussian
Externí odkaz:
http://arxiv.org/abs/2105.09062
We develop a method for probabilistic prediction of extreme value hot-spots in a spatio-temporal framework, tailored to big datasets containing important gaps. In this setting, direct calculation of summaries from data, such as the minimum over a spa
Externí odkaz:
http://arxiv.org/abs/2004.00386
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Akademický článek
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A spliced Gamma-Generalized Pareto model for short-term extreme wind speed probabilistic forecasting
Renewable sources of energy such as wind power have become a sustainable alternative to fossil fuel-based energy. However, the uncertainty and fluctuation of the wind speed derived from its intermittent nature bring a great threat to the wind power p
Externí odkaz:
http://arxiv.org/abs/1810.04099
Autor:
Castro-Camilo, Daniela, Huser, Raphaël
To disentangle the complex non-stationary dependence structure of precipitation extremes over the entire contiguous U.S., we propose a flexible local approach based on factor copula models. Our sub-asymptotic spatial modeling framework yields non-tri
Externí odkaz:
http://arxiv.org/abs/1710.00875