Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/59870
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dc.contributor.authorElliott, R.-
dc.contributor.authorVan Der Hoek, J.-
dc.contributor.authorValencia, J.-
dc.date.issued2010-
dc.identifier.citationStochastic Analysis and Applications, 2010; 28(4):696-710-
dc.identifier.issn0736-2994-
dc.identifier.issn1532-9356-
dc.identifier.urihttp://hdl.handle.net/2440/59870-
dc.description.abstractA discrete time nonlinear filter is used to estimate the volatility in a financial model. New filters are derived for sums of unobserved quantities and the EM algorithm applied to determine the parameters of the model.-
dc.description.statementofresponsibilityRobert J. Elliott, John van der Hoek and Jorge Valencia-
dc.language.isoen-
dc.publisherMarcel Dekker Inc-
dc.rights© 2010 Informa plc-
dc.source.urihttp://dx.doi.org/10.1080/07362994.2010.482841-
dc.subjectEM algorithm-
dc.subjectNonlinear filters-
dc.subjectReference probability approach-
dc.subjectTime series-
dc.subjectVolatility-
dc.titleNonlinear filter estimation of volatility-
dc.typeJournal article-
dc.identifier.doi10.1080/07362994.2010.482841-
dc.relation.grantARC-
pubs.publication-statusPublished-
Appears in Collections:Aurora harvest 5
Mathematical Sciences publications

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