Large Deviation Approaches for the Numerical Computation of the Hitting Probability for Gaussian Processes

Verfasser / Beitragende:
[Lucia Caramellino, Barbara Pacchiarotti, Simone Salvadei]
Ort, Verlag, Jahr:
2015
Enthalten in:
Methodology and Computing in Applied Probability, 17/2(2015-06-01), 383-401
Format:
Artikel (online)
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024 7 0 |a 10.1007/s11009-013-9364-5  |2 doi 
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245 0 0 |a Large Deviation Approaches for the Numerical Computation of the Hitting Probability for Gaussian Processes  |h [Elektronische Daten]  |c [Lucia Caramellino, Barbara Pacchiarotti, Simone Salvadei] 
520 3 |a We state large deviations for small time of a pinned n-conditional Gaussian process, i.e. the bridge of a Gaussian process conditioned to stay in n fixed points at n fixed past instants, by letting all the past monitoring instants to depend on the small parameter going to 0. Differently from what already developed in Caramellino and Pacchiarotti (Adv Appl Probab 40:424-453, 2008), this procedure is able to catch the dependence on the past observations. We apply the results to numerical experiments that involve the fractional Brownian motion, for the computation of the hitting probability through Monte Carlo methods. 
540 |a Springer Science+Business Media New York, 2013 
690 7 |a Conditioned Gaussian processes  |2 nationallicence 
690 7 |a Reproducing kernel Hilbert spaces  |2 nationallicence 
690 7 |a Large deviations  |2 nationallicence 
690 7 |a Exit time probabilities  |2 nationallicence 
690 7 |a Monte Carlo methods  |2 nationallicence 
700 1 |a Caramellino  |D Lucia  |u Dipartimento di Matematica, Università di Roma Tor Vergata, Via della Ricerca, Scientifica 1, 00133, Roma, Italy  |4 aut 
700 1 |a Pacchiarotti  |D Barbara  |u Dipartimento di Matematica, Università di Roma Tor Vergata, Via della Ricerca, Scientifica 1, 00133, Roma, Italy  |4 aut 
700 1 |a Salvadei  |D Simone  |u Università di Roma Tor Vergata, SEFEMEQ, Via Columbia 2, 00133, Roma, Italy  |4 aut 
773 0 |t Methodology and Computing in Applied Probability  |d Springer US; http://www.springer-ny.com  |g 17/2(2015-06-01), 383-401  |x 1387-5841  |q 17:2<383  |1 2015  |2 17  |o 11009 
856 4 0 |u https://doi.org/10.1007/s11009-013-9364-5  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s11009-013-9364-5  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Caramellino  |D Lucia  |u Dipartimento di Matematica, Università di Roma Tor Vergata, Via della Ricerca, Scientifica 1, 00133, Roma, Italy  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Pacchiarotti  |D Barbara  |u Dipartimento di Matematica, Università di Roma Tor Vergata, Via della Ricerca, Scientifica 1, 00133, Roma, Italy  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Salvadei  |D Simone  |u Università di Roma Tor Vergata, SEFEMEQ, Via Columbia 2, 00133, Roma, Italy  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Methodology and Computing in Applied Probability  |d Springer US; http://www.springer-ny.com  |g 17/2(2015-06-01), 383-401  |x 1387-5841  |q 17:2<383  |1 2015  |2 17  |o 11009