Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/93994
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Type: Journal article
Title: A nonlinear filter with fractional gaussian noise
Author: Elliott, R.
Deng, J.
Citation: Stochastic Analysis and Applications, 2011; 29(3):503-510
Publisher: Taylor & Francis
Issue Date: 2011
ISSN: 0736-2994
1532-9356
Statement of
Responsibility: 
Robert J. Elliott & Jia Deng
Abstract: Using a measure change, an exact estimate and an approximate recursive estimate are obtained for the conditional density of a hidden signal and a parameter in a state space model, where the hidden signal has deterministic dynamics and it is observed in fractional Gaussian noise.
Keywords: Change of measure; Fractional Gaussian noise; Nonlinear filter; 93E11; 60G22
Rights: © Taylor & Francis Group, LLC
DOI: 10.1080/07362994.2011.564452
Published version: http://dx.doi.org/10.1080/07362994.2011.564452
Appears in Collections:Aurora harvest 2
Mathematical Sciences publications

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