Bayesian statistics and single-molecule trajectories
Abstract/Contents
- Abstract
- Bayesian statistics is a powerful method for inference--possibly the uniquely correct method for inference. As described herein, when applied to a few degrees of freedom from single molecule trajectories, Bayesian statistics yield useful insights into rates, states, and motions.
Description
Type of resource | text |
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Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2010 |
Issuance | monographic |
Language | English |
Creators/Contributors
Associated with | Ensign, Daniel L | |
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Associated with | Stanford University, Department of Chemistry | |
Primary advisor | Pande, Vijay | |
Thesis advisor | Pande, Vijay | |
Thesis advisor | Andersen, Hans, 1941- | |
Thesis advisor | Boxer, Steven G. (Steven George), 1947- | |
Advisor | Andersen, Hans, 1941- | |
Advisor | Boxer, Steven G. (Steven George), 1947- |
Subjects
Genre | Theses |
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Bibliographic information
Statement of responsibility | Daniel L. Ensign. |
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Note | Submitted to the Department of Chemistry. |
Thesis | Ph.D. Stanford University 2010 |
Location | electronic resource |
Access conditions
- Copyright
- © 2010 by Daniel L Ensign
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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