Correction to: Estimation and uncertainty quantification for extreme quantile regions

Extremes ◽

10.1007/s10687-021-00408-4 ◽

2021 ◽

Author(s):

Boris Beranger ◽

Simone A. Padoan ◽

Scott A. Sisson

Keyword(s):

Uncertainty Quantification ◽

Extreme Quantile

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Uncertainty Quantification for Extreme Quantile Estimation With Stochastic Computer Models

IEEE Transactions on Reliability ◽

10.1109/tr.2020.2980448 ◽

2020 ◽

pp. 1-12 ◽

Author(s):

Qiyun Pan ◽

Young Myoung Ko ◽

Eunshin Byon

Keyword(s):

Uncertainty Quantification ◽

Computer Models ◽

Quantile Estimation ◽

Extreme Quantile

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Estimation and uncertainty quantification for extreme quantile regions

Extremes ◽

10.1007/s10687-019-00364-0 ◽

2019 ◽

Author(s):

Boris Beranger ◽

Simone A. Padoan ◽

Scott A. Sisson

Keyword(s):

Uncertainty Quantification ◽

Extreme Quantile

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Parameter Estimation and Uncertainty Quantification in Water Resources Modeling

10.3389/978-2-88963-674-7 ◽

2020 ◽

Keyword(s):

Parameter Estimation ◽

Water Resources ◽

Uncertainty Quantification

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UNCERTAINTY QUANTIFICATION TOWARDS FILTERING OPTIMIZATION IN SCENE MATCHING AIDED NAVIGATION SYSTEMS

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2016016561 ◽

2016 ◽

Vol 6 (2) ◽

pp. 127-140

Author(s):

Shengdi Zhang ◽

Xiaojun Duan ◽

Lijun Peng

Keyword(s):

Uncertainty Quantification ◽

Navigation Systems ◽

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INVERSE UNCERTAINTY QUANTIFICATION OF A CELL MODEL USING A GAUSSIAN PROCESS METAMODEL

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2020033186 ◽

2020 ◽

Vol 10 (4) ◽

pp. 333-349

Author(s):

Kevin de Vries ◽

Anna Nikishova ◽

Benjamin Czaja ◽

Gábor Závodszky ◽

Alfons G. Hoekstra

Keyword(s):

Gaussian Process ◽

Uncertainty Quantification ◽

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UNCERTAINTY QUANTIFICATION FOR NATURAL CONVECTION IN RANDOM POROUS MEDIA WITH INTRUSIVE POLYNOMIAL CHAOS EXPANSION

Journal of Porous Media ◽

10.1615/jpormedia.2020033288 ◽

2020 ◽

Vol 23 (7) ◽

pp. 641-661

Author(s):

Changwei Jiang ◽

Yi Jiang ◽

Er Shi

Keyword(s):

Porous Media ◽

Natural Convection ◽

Uncertainty Quantification ◽

Polynomial Chaos ◽

Polynomial Chaos Expansion ◽

Chaos Expansion ◽

Random Porous Media

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Uncertainty Quantification of Transonic Nozzle Flow by Polynomial Chaos Expansion

JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES ◽

10.2322/jjsass.65.151 ◽

2017 ◽

Vol 65 (4) ◽

pp. 151-156

Author(s):

Koji MIYAJI ◽

Tota UENO ◽

Yasumi KAWAMURA

Keyword(s):

Uncertainty Quantification ◽

Polynomial Chaos ◽

Polynomial Chaos Expansion ◽

Nozzle Flow ◽

Chaos Expansion

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Generalized Polynomial Chaos Based Stochastic Collocation on the Uncertainty Quantification of CMOS Active Filter Circuits

2019 11th International Conference on Electrical and Electronics Engineering (ELECO) ◽

10.23919/eleco47770.2019.8990660 ◽

2019 ◽

Author(s):

Mecit Emre Duman ◽

Onder Suvak

Keyword(s):

Uncertainty Quantification ◽

Polynomial Chaos ◽

Active Filter ◽

Stochastic Collocation ◽

Generalized Polynomial Chaos ◽

Generalized Polynomial

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Statistical Sample Size Determination for Uncertainty Quantification and Error Control in Validation of Simulation Experiments

50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition ◽

10.2514/6.2012-626 ◽

2012 ◽

Author(s):

John Doty

Keyword(s):

Sample Size ◽

Uncertainty Quantification ◽

Error Control ◽

Sample Size Determination ◽

Size Determination ◽

Simulation Experiments ◽

Statistical Sample

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Computational Effort vs. Accuracy Tradeoff in Uncertainty Quantification

16th AIAA Non-Deterministic Approaches Conference ◽

10.2514/6.2014-1178 ◽

2014 ◽

Author(s):

Joshua G. Mullins ◽

Sankaran Mahadevan

Keyword(s):

Uncertainty Quantification ◽

Computational Effort ◽

Accuracy Tradeoff

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