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Exact filtering for partially observed continuous time models

Exact filtering for partially observed continuous time models

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_37944968

Exact filtering for partially observed continuous time models

About this item

Full title

Exact filtering for partially observed continuous time models

Publisher

Oxford, UK: Blackwell Publishing

Journal title

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2004-08, Vol.66 (3), p.771-789

Language

English

Formats

Publication information

Publisher

Oxford, UK: Blackwell Publishing

More information

Scope and Contents

Contents

The forward-backward algorithm is an exact filtering algorithm which can efficiently calculate likelihoods, and which can be used to simulate from posterior distributions. Using a simple result which relates gamma random variables with different rates, we show how the forward-backward algorithm can be used to calculate the distribution of a sum of...

Alternative Titles

Full title

Exact filtering for partially observed continuous time models

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_37944968

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_37944968

Other Identifiers

ISSN

1369-7412

E-ISSN

1467-9868

DOI

10.1111/j.1467-9868.2004.05561.x

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