Pregled bibliografske jedinice broj: 847049
Weak convergence of multivariate partial maxima processes
Weak convergence of multivariate partial maxima processes // Journal of multivariate analysis, 155 (2017), 1-11 doi:10.1016/j.jmva.2016.11.012 (međunarodna recenzija, članak, znanstveni)
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Naslov
Weak convergence of multivariate partial maxima processes
Autori
Krizmanić, Danijel
Izvornik
Journal of multivariate analysis (0047-259X) 155
(2017);
1-11
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
functional limit theorem ; regular variation ; weak M_1 topology ; extremal process ; weak convergence ; multivariate GARCH
Sažetak
For a strictly stationary sequence of R_{; ; ; +}; ; ; ^{; ; ; d}; ; ; –valued random vectors we derive functional convergence of partial maxima stochastic processes under joint regular variation and weak dependence conditions. The limit process is an extremal process and the convergence takes place in the space of R_{; ; ; +}; ; ; ^{; ; ; d}; ; ; –valued cadlag functions on [0, 1], with the Skorohod weak M_1 topology. We also show that this topology in general can not be replaced by the stronger (standard) M_1 topology. The theory is illustrated on three examples, including the multivariate squared GARCH process with constant conditional correlations.
Izvorni jezik
Engleski
Znanstvena područja
Matematika
POVEZANOST RADA
Projekti:
HRZZ-IP-2013-11-3526 - Stohastičke metode u analitičkim i primijenjenim problemima (SMAAP) (Vondraček, Zoran, HRZZ - 2013-11) ( CroRIS)
Ustanove:
Sveučilište u Rijeci, Fakultet za matematiku
Profili:
Danijel Krizmanić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus