A review on global sensitivity analysis methods
B Iooss, P Lemaître - … management in simulation-optimization of complex …, 2015 - Springer
This chapter makes a review, in a complete methodological framework, of various global
sensitivity analysis methods of model output. Numerous statistical and probabilistic tools …
sensitivity analysis methods of model output. Numerous statistical and probabilistic tools …
Analyzing stochastic computer models: A review with opportunities
Analyzing Stochastic Computer Models: A Review with Opportunities Page 1 Statistical
Science 2022, Vol. 37, No. 1, 64–89 https://doi.org/10.1214/21-STS822 © Institute of …
Science 2022, Vol. 37, No. 1, 64–89 https://doi.org/10.1214/21-STS822 © Institute of …
Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions
S Shan, GG Wang - Structural and multidisciplinary optimization, 2010 - Springer
The integration of optimization methodologies with computational analyses/simulations has
a profound impact on the product design. Such integration, however, faces multiple …
a profound impact on the product design. Such integration, however, faces multiple …
[图书][B] Design and analysis of simulation experiments
JPC Kleijnen - 2018 - Springer
This contribution summarizes the design and analysis of experiments with computerized
simulation models. It focuses on two metamodel (surrogate, emulator) types, namely first …
simulation models. It focuses on two metamodel (surrogate, emulator) types, namely first …
Computer model validation with functional output
A key question in evaluation of computer models is Does the computer model adequately
represent reality? A six-step process for computer model validation is set out in Bayarri et …
represent reality? A six-step process for computer model validation is set out in Bayarri et …
A simple approach to emulation for computer models with qualitative and quantitative factors
Q Zhou, PZG Qian, S Zhou - Technometrics, 2011 - Taylor & Francis
We propose a flexible yet computationally efficient approach for building Gaussian process
models for computer experiments with both qualitative and quantitative factors. This …
models for computer experiments with both qualitative and quantitative factors. This …
Variable selection for Gaussian process models in computer experiments
C Linkletter, D Bingham, N Hengartner, D Higdon… - …, 2006 - Taylor & Francis
In many situations, simulation of complex phenomena requires a large number of inputs and
is computationally expensive. Identifying the inputs that most impact the system so that these …
is computationally expensive. Identifying the inputs that most impact the system so that these …
Tuner: Principled parameter finding for image segmentation algorithms using visual response surface exploration
T Torsney-Weir, A Saad, T Moller… - … on Visualization and …, 2011 - ieeexplore.ieee.org
In this paper we address the difficult problem of parameter-finding in image segmentation.
We replace a tedious manual process that is often based on guess-work and luck by a …
We replace a tedious manual process that is often based on guess-work and luck by a …
Analyse de sensibilité et exploration de modèles: application aux sciences de la nature et de l'environnement
Le code de la propriété intellectuelle interdit la photocopie à usage collectif sans
autorisation des ayants droit. Le non-respect de cette disposition met en danger l'édition …
autorisation des ayants droit. Le non-respect de cette disposition met en danger l'édition …
Revue sur l'analyse de sensibilité globale de modèles numériques
B Iooss - Journal de la Société Française de Statistique, 2011 - numdam.org
Cet article a pour objectif d'effectuer un survol rapide, mais dans un cadre méthodologique
relativement complet, des différentes méthodes d'analyse de sensibilité globale d'un modèle …
relativement complet, des différentes méthodes d'analyse de sensibilité globale d'un modèle …