Path integral-based Bayesian inference of bond energy and mobility
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About this item
| Description: |
Chou, T (University of California, Los Angeles)
Wednesday 22nd June 2016 - 09:00 to 09:45 |
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| Created: | 2016-07-04 14:58 |
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| Collection: | Stochastic Dynamical Systems in Biology: Numerical Methods and Applications |
| Publisher: | Isaac Newton Institute |
| Copyright: | Chou, 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-authors: Josh Chang (NIH), Pak-Wing Fok (Univ. of Delaware) A Bayesian interpretation is given for regularization terms for parameter functions in inverse problems. Fluctuations about the extremal solution depend on the regularization terms - which encode prior knowledge - provide quantification of uncertainty. After reviewing a general path-integral framework, we set up a number of applications that arise in biophysics. The inference of bond energies and bond coordinate mobilities from dynamic force spectroscopy experiments are worked out in detail. Related Links http://faculty.biomath.ucla.edu/tchou/ |
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