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The ICSCREAM methodology: Identification of penalizing configurations in
  computer experiments using screening and metamodel -- Applications in
  thermal-hydraulics
v1v2v3 (latest)

The ICSCREAM methodology: Identification of penalizing configurations in computer experiments using screening and metamodel -- Applications in thermal-hydraulics

8 April 2020
A. M. CEA-DES
Bertrand Iooss
V. Chabridon
ArXiv (abs)PDFHTML

Papers citing "The ICSCREAM methodology: Identification of penalizing configurations in computer experiments using screening and metamodel -- Applications in thermal-hydraulics"

9 / 9 papers shown
Title
Bayesian inference and non-linear extensions of the CIRCE method for
  quantifying the uncertainty of closure relationships integrated into
  thermal-hydraulic system codes
Bayesian inference and non-linear extensions of the CIRCE method for quantifying the uncertainty of closure relationships integrated into thermal-hydraulic system codes
Guillaume Damblin
P. Gaillard
45
20
0
13 Feb 2019
Nested Kriging predictions for datasets with large number of
  observations
Nested Kriging predictions for datasets with large number of observations
D. Rullière
N. Durrande
François Bachoc
C. Chevalier
52
67
0
19 Jul 2016
A simple and provable algorithm for sparse diagonal CCA
A simple and provable algorithm for sparse diagonal CCA
Megasthenis Asteris
Bruno Sudret
Jean-Marc Bourinet
R. Poldrack
CML
35
12
0
29 May 2016
New improvements in the use of dependence measures for sensitivity
  analysis and screening
New improvements in the use of dependence measures for sensitivity analysis and screening
Matthias De Lozzo
A. Marrel
75
52
0
03 Dec 2014
Global Sensitivity Analysis with Dependence Measures
Global Sensitivity Analysis with Dependence Measures
Sébastien Da Veiga
102
164
0
11 Nov 2013
Gaussian Processes for Big Data
Gaussian Processes for Big Data
J. Hensman
Nicolò Fusi
Neil D. Lawrence
GP
107
1,235
0
26 Sep 2013
Cross Validation and Maximum Likelihood estimations of hyper-parameters
  of Gaussian processes with model misspecification
Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification
François Bachoc
87
228
0
18 Jan 2013
Sequential design of computer experiments for the estimation of a
  probability of failure
Sequential design of computer experiments for the estimation of a probability of failure
Julien Bect
D. Ginsbourger
Ling Li
Victor Picheny
E. Vázquez
99
351
0
27 Sep 2010
Bayesian treed Gaussian process models with an application to computer
  modeling
Bayesian treed Gaussian process models with an application to computer modeling
R. Gramacy
Herbert K. H. Lee
189
680
0
24 Oct 2007
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