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Multi-level methods and approximating distribution functions

Abstract:

Biochemical reaction networks are often modelled using discrete-state, continuous-time Markov chains. System statistics of these Markov chains usually cannot be calculated analytically and therefore estimates must be generated via simulation techniques. There is a well documented class of simulation techniques known as exact stochastic simulation algorithms, an example of which is Gillespie's direct method. These algorithms often come with high computational costs, therefore approximate stoch...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1063/1.4960118

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More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
Publisher:
AIP Publishing Publisher's website
Journal:
AIP Advances Journal website
Issue:
7
Article number:
075020
Publication date:
2016-07-01
Acceptance date:
2016-07-18
DOI:
ISSN:
2158-3226
Source identifiers:
638315
Keywords:
Pubs id:
pubs:638315
UUID:
uuid:8a8db3bd-36ca-485f-9dbc-903c0f7ac3f6
Local pid:
pubs:638315
Deposit date:
2016-09-01

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