Optimal designs for the propagation of uncertainty in computer experiments (original) (raw)

Modeling of computer experiments for uncertainty propagation and sensitivity analysis

Alberto Pasanisi

Statistics and Computing, 2012

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Ch. 7. A review of design and modeling in computer experiments

Russell Barton

Handbook of Statistics, 2003

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Accounting for Both Random Errors and Systematic Errors in Uncertainty Propagation Analysis of Computer Models Involving Experimental Measurements with Monte Carlo Methods

Victor R Vasquez

Risk Analysis, 2005

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Sensitivity Analysis of Simulation Models

Jack Kleijnen

SSRN Electronic Journal, 2000

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Towards the optimal design of numerical experiment

Gérard Dreyfus

2015

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Practical Aspects for Designing Statistically Optimal Experiments

Patrick Whitcomb

Journal of Statistical Science and Application, 2014

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Towards the optimal design of numerical experiments

Gerard DREYFUS

Neural Networks, IEEE …, 2008

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Comparing designs for computer simulation experiments

John Fowler

2008 Winter Simulation Conference, 2008

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Screening and metamodeling of computer experiments with functional outputs. Application to thermal-hydraulic computations

Benjamin Auder

2010

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Research DesignandAnalysis for the GaussianProcessModel‡

Bradley Jones

2016

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Robust simulation-optimization using metamodels

Jack Kleijnen

Proceedings - Winter Simulation Conference, 2009

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Regression and Kriging metamodels with their experimental designs in simulation: a review

Jack Kleijnen

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Analytical Variance-Based Global Sensitivity Analysis in Simulation-Based Design Under Uncertainty

Ruichen Jin

Journal of Mechanical Design, 2005

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Methods for Sensitivity and Uncertainty Analysis of Computer Intensive Simulation Models

A. Beusen, Hans Visser

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Analytical Uncertainty Propagation via Metamodels in Simulation-Based Design Under Uncertainty

Ruichen Jin

10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2004

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A framework for Response Surface Methodology for simulation optimization

Rommert Dekker

2000

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Optimization Through Experimentation: Applying Response Surface Methodology

Harvey Brightman

Decision Sciences, 1978

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Recent Advances in Computer Experiment Modeling

YuFan Liu

2014

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A criterion for model-robust design of experiments

Morgan Roger

Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004., 2004

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Design and analysis of computer experiments

Henry Wynn

AStA Advances in Statistical Analysis, 2010

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NPUA: A new approach for the analysis of computer experiments

A. Pepelyshev

Chemometrics and Intelligent Laboratory Systems, 2010

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Computationally efficient uncertainty propagation and reduction using the stochastic response surface method

Panos Georgopoulos

2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601), 2004

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

john doty

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Book Review: Experiments: Planning, Analysis, and Parameter Design Optimization. By C. F. Jeff Wu and Michael Hamada. John Wiley & Sons, Inc., New York, 2000, 630 p., U.S.$89.95 (hb), ISBN 0-471-25511-4

Thomas Jones

Mathematical Geology - MATH GEOL, 2003

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A Comparative Study of the Probabilistic-Collocation and Experimental-Design Methods for Petroleum-Reservoir Uncertainty Quantification

Pallav Sarma

SPE Journal, 2011

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Sequential Design of Computer Experiments to Minimize Integrated Response Functions

Thomas Santner

2000

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Optimal design of computer experiments for surrogate models with dimensionless variables

Ion Hazyuk

Structural and Multidisciplinary Optimization

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An alternative to Monte Carlo simulation method

Professor Mohamed Hassan Mehany H . Gadallah

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Metamodel-Based Sensitivity Analysis: Polynomial Chaos Expansions and Gaussian Processes

Loic Le Gratiet

Handbook of Uncertainty Quantification, 2015

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Issues in utilizing response surface methodologies for accurate probabilistic design

Eric Fox

37th Structure, Structural Dynamics and Materials Conference, 1996

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Stochastic response surface methods (SRSMs) for uncertainty propagation: Application to environmental and biological systems

Panos Georgopoulos

Risk Analysis, 1998

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Sequential design of computer experiments for the estimation of a probability of failure

Emmanuel Vazquez

2010

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Initial Development of Statistically Based Validation Process for Computational Simulation

john doty

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On the Use of Minimum-Bias Computer Experimental Designs

Husam Hamad

2011

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