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Path integral-based Bayesian inference of bond energy and mobility

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SDBW04 - Spatially distributed stochastic dynamical systems in biology


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/

This talk is part of the Isaac Newton Institute Seminar Series series.

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