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https://hdl.handle.net/2440/60018
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dc.contributor.author | Elliott, R. | - |
dc.contributor.author | Siu, T. | - |
dc.contributor.author | Yang, H. | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | IEEE Transactions on Automatic Control, 2010; 55(1):74-88 | - |
dc.identifier.issn | 0018-9286 | - |
dc.identifier.issn | 1558-2523 | - |
dc.identifier.uri | http://hdl.handle.net/2440/60018 | - |
dc.description.abstract | We develop a new exact filter when a hidden Markov chain influences both the sizes and times of a marked point process. An example would be an insurance claims process, where we assume that both the stochastic intensity of the claim arrivals and the distribution of the claim sizes depend on the states of an economy. We also develop the robust filter-based and smoother-based EM algorithms for the on-line recursive estimates of the unknown parameters in the Markov-modulated random measure. Our development is in the framework of modern theory of stochastic processes. | - |
dc.description.statementofresponsibility | Robert J. Elliott, Tak Kuen Siu, and Hailiang Yang | - |
dc.language.iso | en | - |
dc.publisher | IEEE-Inst Electrical Electronics Engineers Inc | - |
dc.rights | © 2009 IEEE | - |
dc.source.uri | http://dx.doi.org/10.1109/tac.2009.2034227 | - |
dc.subject | Insurance risk models | - |
dc.subject | Markov-modulated | - |
dc.subject | random measures | - |
dc.subject | martingales | - |
dc.subject | model uncertainty | - |
dc.subject | reference | - |
dc.subject | Probability | - |
dc.subject | robust EM algorithms | - |
dc.title | Filtering a Markov modulated random measure | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1109/TAC.2009.2034227 | - |
pubs.publication-status | Published | - |
Appears in Collections: | Aurora harvest 5 Mathematical Sciences publications |
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