ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1509.04613
  4. Cited By
Gaussian process surrogates for failure detection: a Bayesian
  experimental design approach

Gaussian process surrogates for failure detection: a Bayesian experimental design approach

11 September 2015
Hongqiao Wang
Guang Lin
Jinglai Li
ArXiv (abs)PDFHTML

Papers citing "Gaussian process surrogates for failure detection: a Bayesian experimental design approach"

5 / 5 papers shown
Title
Bayesian Subset Simulation: a kriging-based subset simulation algorithm
  for the estimation of small probabilities of failure
Bayesian Subset Simulation: a kriging-based subset simulation algorithm for the estimation of small probabilities of failure
Ling Li
Julien Bect
E. Vázquez
60
27
0
09 Jul 2012
Corrected Kriging update formulae for batch-sequential data assimilation
Corrected Kriging update formulae for batch-sequential data assimilation
C. Chevalier
D. Ginsbourger
81
47
0
29 Mar 2012
Simulation-based optimal Bayesian experimental design for nonlinear
  systems
Simulation-based optimal Bayesian experimental design for nonlinear systems
Xun Huan
Youssef M. Marzouk
81
429
0
20 Aug 2011
Metamodel-based importance sampling for structural reliability analysis
Metamodel-based importance sampling for structural reliability analysis
V. Dubourg
Francois Deheeger
Bruno Sudret
54
487
0
03 May 2011
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
97
349
0
27 Sep 2010
1