Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/17857
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Type: Journal article
Title: Hidden Markov chain filtering for a jump diffusion model
Author: Wu, P.
Elliott, R.
Citation: Stochastic Analysis and Applications, 2005; 23(1):153-163
Publisher: Marcel Dekker Inc
Issue Date: 2005
ISSN: 0736-2994
1532-9356
Statement of
Responsibility: 
Wu, P. ; Elliott, R. J.
Abstract: In this paper, we derive the finite-dimensional recursive filters for a jump diffusion model with a drift parameter that follows hidden Markov chains. These finite-dimensional filters can be used with the expectation maximization (EM) algorithm to yield maximum likelihood estimates of the parameters of the model and the jump intensity rate.
Keywords: Filtering equations
Martingale
Reference probability.
Description: Copyright © Taylor & Francis, Inc.
DOI: 10.1081/SAP-200044465
Published version: http://dx.doi.org/10.1081/sap-200044465
Appears in Collections:Applied Mathematics publications
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