Estimating Parameters in Physical Models through Bayesian Inversion: A Complete Example

DOI10.1137/100788604zbMath1260.74003OpenAlexW2009552816WikidataQ60708783 ScholiaQ60708783MaRDI QIDQ4912764

Sarah Zedler, Javier Polanco, Fang Wang, Jennifer Webster, Kainan Wang, Moritz Allmaras, Jean Marie Linhart, Wolfgang Bangerth

Publication date: 5 April 2013

Published in: SIAM Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/100788604

Mathematics Subject Classification ID

Bayesian inference (62F15) Experimental work for problems pertaining to mechanics of deformable solids (74-05) Applications of statistics to physics (62P35) Inverse problems involving ordinary differential equations (34A55)

Related Items (9)

Identification of dynamical systems with structured uncertainty ⋮ Bayesian calibration, validation and uncertainty quantification for predictive modelling of tumour growth: a tutorial ⋮ Numerical linear algebra in data assimilation ⋮ A Benchmark for the Bayesian Inversion of Coefficients in Partial Differential Equations ⋮ Global stability and parameter analysis reinforce therapeutic targets of PD-L1-PD-1 and MDSCs for glioblastoma ⋮ Retrieval of initial condition for Burgers' equation using reduced-order EnKF via POD-based sparse observations ⋮ A Practical Example for the Non-linear Bayesian Filtering of Model Parameters ⋮ Statistics of Parameter Estimates: A Concrete Example ⋮ Parameter identification via optimal control for a Cahn-Hilliard-chemotaxis system with a variable mobility

This page was built for publication: Estimating Parameters in Physical Models through Bayesian Inversion: A Complete Example