Bayesian inversion for imprecise probabilistic models using a novel entropy-based uncertainty quantification metric

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2021.107954 ◽

2022 ◽

Vol 162 ◽

pp. 107954

Author(s):

Lechang Yang ◽

Sifeng Bi ◽

Matthias G.R. Faes ◽

Matteo Broggi ◽

Michael Beer

Keyword(s):

Uncertainty Quantification ◽

Probabilistic Models ◽

Bayesian Inversion

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FAST BAYESIAN INVERSION METHOD FOR THE GENERALIZED PETROPHYSICAL AND COMPOSITIONAL INTERPRETATION OF MULTIPLE WELL LOGS WITH UNCERTAINTY QUANTIFICATION

10.30632/t60als-2019_ffff ◽

2019 ◽

Author(s):

Tianqi Deng ◽

Joaquin Ambia ◽

Carlos Torres-Verdín

Keyword(s):

Uncertainty Quantification ◽

Well Logs ◽

Bayesian Inversion ◽

Inversion Method ◽

Compositional Interpretation

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Probabilistic Models for Uncertainty Quantification of Soil Properties on Site Response Analysis

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering ◽

10.1061/ajrua6.0001079 ◽

2020 ◽

Vol 6 (3) ◽

pp. 04020030

Author(s):

Thanh-Tuan Tran ◽

Kashif Salman ◽

Seung-Ryong Han ◽

Dookie Kim

Keyword(s):

Soil Properties ◽

Uncertainty Quantification ◽

Probabilistic Models ◽

Site Response ◽

Site Response Analysis ◽

Response Analysis

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Probabilistic Models and Uncertainty Quantification for the Ionization Reaction Rate of Atomic Nitrogen

49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition ◽

10.2514/6.2011-624 ◽

2011 ◽

Author(s):

Kenji Miki ◽

M. Panesi ◽

E. Prudencio ◽

S. Prudhomme

Keyword(s):

Uncertainty Quantification ◽

Reaction Rate ◽

Probabilistic Models ◽

Atomic Nitrogen ◽

Ionization Reaction

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FIELD-SCALE GROUND-PENETRATING-RADAR TOMOGRAPHY AND UNCERTAINTY QUANTIFICATION THROUGH ENTROPY-BASED BAYESIAN INVERSION

10.4133/sageep2013-030.1 ◽

2013 ◽

Author(s):

Neil Terry ◽

Zhangshuan Hou ◽

Susan S. Hubbard

Keyword(s):

Uncertainty Quantification ◽

Ground Penetrating Radar ◽

Bayesian Inversion ◽

Field Scale ◽

Ground Penetrating

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Probabilistic models and uncertainty quantification for the ionization reaction rate of atomic Nitrogen

Journal of Computational Physics ◽

10.1016/j.jcp.2012.01.005 ◽

2012 ◽

Vol 231 (9) ◽

pp. 3871-3886 ◽

Author(s):

K. Miki ◽

M. Panesi ◽

E.E. Prudencio ◽

S. Prudhomme

Keyword(s):

Uncertainty Quantification ◽

Reaction Rate ◽

Probabilistic Models ◽

Atomic Nitrogen ◽

Ionization Reaction

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Joint Bayesian inversion for reservoir characterization and uncertainty quantification

10.1190/1.3059194 ◽

2008 ◽

Author(s):

Tiancong Hong ◽

Mrinal K. Sen

Keyword(s):

Uncertainty Quantification ◽

Reservoir Characterization ◽

Bayesian Inversion

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Corrigendum to “Probabilistic models and uncertainty quantification for the ionization reaction rate of atomic Nitrogen” [JCOMP 231(9) (2012) 3871–3886]

Journal of Computational Physics ◽

10.1016/j.jcp.2012.04.030 ◽

2012 ◽

Vol 231 (15) ◽

pp. 5216

Author(s):

Kenji Miki ◽

Marco Panesi ◽

Ernesto E. Prudencio ◽

Serge Prudhomme

Keyword(s):

Uncertainty Quantification ◽

Reaction Rate ◽

Probabilistic Models ◽

Atomic Nitrogen ◽

Ionization Reaction

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Improving the reliability of POD curves in NDI methods using a Bayesian inversion approach for uncertainty quantification

10.1063/1.4940653 ◽

2016 ◽

Author(s):

A. Ben Abdessalem ◽

F. Jenson ◽

P. Calmon

Keyword(s):

Uncertainty Quantification ◽

Bayesian Inversion

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Uncertainty Quantification and Bayesian Inversion

Encyclopedia of Computational Mechanics Second Edition ◽

10.1002/9781119176817.ecm2071 ◽

2017 ◽

pp. 1-51 ◽

Author(s):

Hermann G. Matthies

Keyword(s):

Uncertainty Quantification ◽

Bayesian Inversion

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Uncertainty Quantification for Mature Field Combining the Bayesian Inversion Formalism and Experimental Design Approach

10.3997/2214-4609-pdb.9.a030 ◽

2004 ◽

Author(s):

M. Feraille ◽

F. Roggero

Keyword(s):

Experimental Design ◽

Uncertainty Quantification ◽

Design Approach ◽

Bayesian Inversion ◽

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