Abstrakti
We analyze the Lp-convergence of a previously proposed Girsanov theorem based particle filter for discretely observed stochastic differential equation (SDE) models. We prove the convergence of the algorithm with the number of particles tending to infinity by requiring a moment condition and a step-wise initial condition boundedness for the stochastic exponential process giving the likelihood ratio of the SDEs. The practical implications of the condition are illustrated with an Ornstein-Uhlenbeck model and with a non-linear Benes model.
Alkuperäiskieli | Englanti |
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Otsikko | IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 |
Kustantaja | IEEE |
Sivut | 3989-3993 |
Sivumäärä | 5 |
Vuosikerta | 2016-May |
ISBN (painettu) | 9781479999880 |
DOI - pysyväislinkit | |
Tila | Julkaistu - 18 toukok. 2016 |
OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
Tapahtuma | IEEE International Conference on Acoustics, Speech, and Signal Processing - Shanghai, Kiina Kesto: 20 maalisk. 2016 → 25 maalisk. 2016 Konferenssinumero: 41 http://www.icassp2016.org/ |
Julkaisusarja
Nimi | Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing |
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Kustantaja | Institute of Electrical and Electronics Engineers Inc. |
ISSN (painettu) | 1520-6149 |
ISSN (elektroninen) | 2379-190X |
Conference
Conference | IEEE International Conference on Acoustics, Speech, and Signal Processing |
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Lyhennettä | ICASSP 2016 |
Maa/Alue | Kiina |
Kaupunki | Shanghai |
Ajanjakso | 20/03/2016 → 25/03/2016 |
www-osoite |