Estimating Physics Models and Quantifying Their Uncertainty Using Optimization With a Bayesian Objective Function | Zendy

Stephen A. Andrews | Zendy; Andrew M. Fraser | Zendy

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Estimating Physics Models and Quantifying Their Uncertainty Using Optimization With a Bayesian Objective Function

Author(s) -

Stephen A. Andrews,

Andrew M. Fraser

Publication year - 2019

Publication title -

journal of verification validation and uncertainty quantification

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.218

H-Index - 4

eISSN - 2377-2166

pISSN - 2377-2158

DOI - 10.1115/1.4043807

Subject(s) - uncertainty quantification , bayesian probability , parametric statistics , range (aeronautics) , convexity , experimental data , mathematics , explosive material , function (biology) , parametric model , ordinary differential equation , computer science , mathematical optimization , algorithm , differential equation , statistics , mathematical analysis , engineering , chemistry , organic chemistry , evolutionary biology , financial economics , economics , biology , aerospace engineering

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