Zobrazeno 1 - 10
of 195
pro vyhledávání: '"Neves, Cláudia"'
In this paper, we develop a new and effective approach to nonparametric quantile regression that accommodates ultrahigh-dimensional data arising from spatio-temporal processes. This approach proves advantageous in staving off computational challenges
Externí odkaz:
http://arxiv.org/abs/2405.13783
Autor:
Neves, Cláudia Carvalho
Este trabalho tem como objetivo central a análise da obra AvóDezanove e o segredo do soviético, do escritor angolano Ondjaki, em que o autor, relacionando memória e ficção, recria, pela perspectiva de um narrador-menino, o tempo e o espaço de
The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cross-section of popular demand forecasting algorithms from statistics, machine learning and
Externí odkaz:
http://library.oapen.org/handle/20.500.12657/23132
This paper addresses important weaknesses in current methodology for the estimation of multivariate extreme event distributions. The estimation of the residual dependence index $\eta \in (0,1]$ is notoriously problematic. We introduce a flexible clas
Externí odkaz:
http://arxiv.org/abs/2112.02899
Models for extreme values accommodating non-stationarity have been amply studied and evaluated from a parametric perspective. Whilst these models are flexible, in the sense that many parametrizations can be explored, they assume an asymptotic distrib
Externí odkaz:
http://arxiv.org/abs/2005.13490
The statistical theory of extremes is extended to observations that are non-stationary and not independent. The non-stationarity over time and space is controlled via the scedasis (tail scale) in the marginal distributions. Spatial dependence stems f
Externí odkaz:
http://arxiv.org/abs/2003.04265
Autor:
Neves, Cláudia
This is probably the most appropriate time for the development of robust and reliable structural damage detection systems as aging civil engineering structures, such as bridges, are being used past their life expectancy and beyond their original desi
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-205616
Autor:
Jeffree, Christopher, Neves, Cláudia
One of the most common anticipated difficulties in applying mainstream maximum likelihood inference upon extreme values is articulated on the scarcity of extreme observations for bringing the extreme value theorem to hold across a series of maxima. T
Externí odkaz:
http://arxiv.org/abs/1810.03319
A new approach for evaluating time-trends in extreme values accounting also for spatial dependence is proposed. Based on exceedances over a space-time threshold, estimators for a trend function and for extreme value parameters are given, leading to a
Externí odkaz:
http://arxiv.org/abs/1707.04434
Autor:
Gurgel, Raiana S., Pereira, Dorothy I. M., Martins, Bárbara, Falcão, Lucas S., Lacerda, Caroline D., Neves, Cláudia M. B., Pinto, António F., Jordão, António M., Albuquerque, Patrícia M.
Publikováno v:
Applied Sciences (2076-3417); Oct2024, Vol. 14 Issue 19, p8784, 16p
