Journal article
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
Actions
Authors
Bibliographic Details
- 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
Item Description
- Keywords:
- Pubs id:
-
pubs:638315
- UUID:
-
uuid:8a8db3bd-36ca-485f-9dbc-903c0f7ac3f6
- Local pid:
- pubs:638315
- Deposit date:
- 2016-09-01
Terms of use
- Copyright holder:
- Wilson and Baker
- Copyright date:
- 2016
- Notes:
- Copyright © 2016 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
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