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Fast Bayesian inference of optical trap stiffness and particle diffusion
Bayesian inference provides a principled way of estimating the parameters of a stochastic process that is observed discretely in time. The overdamped Brownian motion of a particle confined in an optical trap is generally modelled by the Ornstein-Uhlenbeck process and can be observed directly in expe...
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| Pubblicato in: | Sci Rep |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5282562/ https://ncbi.nlm.nih.gov/pubmed/28139705 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep41638 |
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