A Bayesian Approach to Estimating Background Flows from a Passive Scalar

A Bayesian Approach to Estimating Background Flows from a Passive Scalar

We consider the statistical inverse problem of estimating a background flow field (e.g., of air or water) from the partial and noisy observation of a passive scalar (e.g., the concentration of a pollutant). Here the unknown is a vector field that is specified by large or infinite number of degrees...

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Bibliographic Details
Main Author: Krometis, Justin
Other Authors: Mathematics
Format: Others
Published: Virginia Tech 2018
Subjects:
Bayesian Statistical Inversion
Bayesian Consistency
Markov Chain Monte Carlo (MCMC)
Passive Scalars
Fluid Turbulence
Online Access:http://hdl.handle.net/10919/83783

Internet

http://hdl.handle.net/10919/83783

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