Approximations for Markov chain models
49 mins 41 secs,
90.89 MB,
MP3
44100 Hz,
249.77 kbits/sec
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About this item
| Description: |
Kurtz, T (University of Wisconsin-Madison)
Monday 4th April 2016 - 09:30 to 10:15 |
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| Created: | 2016-04-05 08:57 |
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| Collection: | Stochastic Dynamical Systems in Biology: Numerical Methods and Applications |
| Publisher: | Isaac Newton Institute |
| Copyright: | Kurtz, T |
| Language: | eng (English) |
| Distribution: |
World
(downloadable)
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| Explicit content: | No |
| Aspect Ratio: | 16:9 |
| Screencast: | No |
| Bumper: | UCS Default |
| Trailer: | UCS Default |
| Abstract: | Co-author: David F. Anderson (Univ of Wisconsin - Madison)
The talk will begin by reviewing methods of specifying continuous-time Markov chains and classical limit theorems that arise naturally for chemical network models. Since models arising in molecular biology frequently exhibit multiple state and time scales, analogous limit theorems for these models will be illustrated through simple examples. Related Links http://www.math.wisc.edu/~kurtz/ - speaker's web page |
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