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 |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2010 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Ensign, Daniel L |
|---|---|
| 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 |
|---|
Bibliographic information
| Statement of responsibility | Daniel L. Ensign. |
|---|---|
| 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).
Also listed in
Loading usage metrics...