Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Almut E. D. Veraart"'
Publikováno v:
AStA Advances in Statistical Analysis. 106:527-544
Prediction of quantiles at extreme tails is of interest in numerous applications. Extreme value modelling provides various competing predictors for this point prediction problem. A common method of assessment of a set of competing predictors is to ev
We introduce a four-factor arithmetic model for electricity baseload spot prices in Germany and Austria. The model consists of a deterministic seasonality and trend function, both short- and long-term stochastic components, and exogenous factors such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::022ff2c11423125087cd4b37ead8a562
http://hdl.handle.net/10044/1/92632
http://hdl.handle.net/10044/1/92632
Autor:
Valentin Courgeau, Almut E. D. Veraart
We consider the problem of modelling restricted interactions between continuously-observed time series as given by a known static graph (or network) structure. For this purpose, we define a parametric multivariate Graph Ornstein-Uhlenbeck (GrOU) proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0aa4b8cfd1295c0fcf6926fc4897e3e3
http://hdl.handle.net/10044/1/91465
http://hdl.handle.net/10044/1/91465
Publikováno v:
Advances in Applied Probability. 51:667-716
In this paper we introduce the \textit{multivariate} Brownian semistationary (BSS) processes and study the joint asymptotic behaviour of its realised covariation using in-fill asymptotics. First, we present a central limit theorem for general station
Publikováno v:
Pakkanen, M S, Passeggeri, R, Sauri, O & Veraart, A E D 2021, ' Limit theorems for trawl processes ', Electronic Journal of Probability, vol. 26, 116 . https://doi.org/10.1214/21-EJP652
In this work we derive limit theorems for trawl processes. First,we study the asymptotic behaviour of the partial sums of the discretized trawl process $(X_{i\Delta_{n}})_{i=0}^{\lfloor nt\rfloor-1}$, under the assumption that as $n\uparrow\infty$, $
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bf31b973b8010e7a31ebaaef289c14a
http://hdl.handle.net/10044/1/90110
http://hdl.handle.net/10044/1/90110
Publikováno v:
Journal of Theoretical Probability. 32:1845-1879
In this work we present different results concerning mixing properties of multivariate infinitely divis- ible (ID) stationary random fields. First, we derive some necessary and sufficient conditions for mixing of stationary ID multivariate random fie
Autor:
John Moriarty, Andy Philpott, Almut E. D. Veraart, Bert Zwart, Pierluigi Mancarella, Stan Zachary
Publikováno v:
Philosophical Transactions of the Royal Society A, 379(2202)
The urgent need to decarbonize energy systems gives rise to many challenging areas of interdisciplinary research, bringing together mathematicians, physicists, engineers and economists. Renewable generation, especially wind and solar, is inherently h
Autor:
Michele Nguyen, Almut E. D. Veraart
Publikováno v:
Spatial Statistics. 20:148-190
Spatial heteroskedasticity has been observed in many spatial data applications such as air pollution and vegetation. We propose a model, the volatility modulated moving average, to account for changing variances across space. This stochastic process
Autor:
Almut E. D. Veraart, Orimar Sauri
Publikováno v:
Orimar, S A & Veraart, A E D 2017, ' On the class of distributions of subordinated Lévy processes and bases ', Stochastic Processes and Their Applications, vol. 127, no. 2, pp. 475-496 . https://doi.org/10.1016/j.spa.2016.06.015
Sauri, O & Veraart, A 2017, ' On the class of distributions of subordinated Lévy processes and bases ', Stochastic Processes and Their Applications, vol. 127, no. 2, pp. 475-496 . https://doi.org/10.1016/j.spa.2016.06.015
Sauri, O & Veraart, A 2017, ' On the class of distributions of subordinated Lévy processes and bases ', Stochastic Processes and Their Applications, vol. 127, no. 2, pp. 475-496 . https://doi.org/10.1016/j.spa.2016.06.015
This article studies the class of distributions obtained by subordinating Lévy processes and Lévy bases by independent subordinators and meta-times. To do this we derive properties of a suitable mapping obtained via Lévy mixing. We show that our r
Autor:
Almut E. D. Veraart
This article presents a new continuous-time modeling framework for multivariate time series of counts which have an infinitely divisible marginal distribution. The model is based on a mixed moving average process driven by Levy noise, called a trawl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45cbd14bed03d112f60c455f526b6ad6
http://hdl.handle.net/10044/1/63882
http://hdl.handle.net/10044/1/63882