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Principal component analysis and sparse polynomial chaos expansions for
  global sensitivity analysis and model calibration: application to urban
  drainage simulation
v1v2 (latest)

Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation

11 September 2017
J. Nagel
J. Rieckermann
Bruno Sudret
ArXiv (abs)PDFHTML

Papers citing "Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation"

9 / 9 papers shown
Title
Fast pick-freeze estimation of Sobol' sensitivity maps using basis
  expansions
Fast pick-freeze estimation of Sobol' sensitivity maps using basis expansions
Yuri Sao
Olivier Roustant
Geraldo de Freitas Maciel
108
0
0
11 Dec 2024
Discovering deposition process regimes: leveraging unsupervised learning
  for process insights, surrogate modeling, and sensitivity analysis
Discovering deposition process regimes: leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis
Geremy Loachamín Suntaxi
Paris Papavasileiou
E. D. Koronaki
Dimitrios G. Giovanis
G. Gakis
...
M. Kathrein
Gabriele Pozzetti
Christoph Czettl
Stéphane P. A. Bordas
A. Boudouvis
41
0
0
24 May 2024
Polynomial Chaos Surrogate Construction for Random Fields with
  Parametric Uncertainty
Polynomial Chaos Surrogate Construction for Random Fields with Parametric Uncertainty
Joy N. Mueller
K. Sargsyan
Craig J. Daniels
H. Najm
38
0
0
01 Nov 2023
Lasso Monte Carlo, a Variation on Multi Fidelity Methods for High
  Dimensional Uncertainty Quantification
Lasso Monte Carlo, a Variation on Multi Fidelity Methods for High Dimensional Uncertainty Quantification
Arnau Albà
R. Boiger
D. Rochman
Andreas Adelmann
54
1
0
07 Oct 2022
A spectral surrogate model for stochastic simulators computed from
  trajectory samples
A spectral surrogate model for stochastic simulators computed from trajectory samples
Nora Lüthen
S. Marelli
Bruno Sudret
23
18
0
12 Jul 2022
Consistency regularization-based Deep Polynomial Chaos Neural Network
  Method for Reliability Analysis
Consistency regularization-based Deep Polynomial Chaos Neural Network Method for Reliability Analysis
Xiaohu Zheng
Wen Yao
Yunyang Zhang
Xiaoya Zhang
58
19
0
29 Mar 2022
Interoperability and computational framework for simulating open channel
  hydraulics: application to sensitivity analysis and calibration of Gironde
  Estuary model
Interoperability and computational framework for simulating open channel hydraulics: application to sensitivity analysis and calibration of Gironde Estuary model
C. Goeury
Yoann Audouin
F. Zaoui
54
9
0
12 Dec 2020
Physically interpretable machine learning algorithm on multidimensional
  non-linear fields
Physically interpretable machine learning algorithm on multidimensional non-linear fields
Rem-Sophia Mouradi
C. Goeury
O. Thual
F. Zaoui
P. Tassi
OOD
23
7
0
28 May 2020
Bayesian calibration and sensitivity analysis of heat transfer models
  for fire insulation panels
Bayesian calibration and sensitivity analysis of heat transfer models for fire insulation panels
Paul Wagner
R. Fahrni
Michael Klippel
A. Frangi
Bruno Sudret
31
26
0
16 Sep 2019
1