메뉴 건너뛰기




Volumn 56, Issue 4, 2014, Pages 455-465

Fast parallel kriging-based stepwise uncertainty reduction with application to the identification of an excursion set

Author keywords

Active learning; Batch sequential strategies; Design of computer experiments; Gaussian process models; Inversion; Probability of failure

Indexed keywords

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); ITERATIVE METHODS; PROGRAM PROCESSORS; SAFETY TESTING;

EID: 84918566907     PISSN: 00401706     EISSN: 15372723     Source Type: Journal    
DOI: 10.1080/00401706.2013.860918     Document Type: Article
Times cited : (134)

References (31)
  • 1
    • 0026471284 scopus 로고
    • Efficient updating of kriging estimates and variances
    • Barnes, R. J., and Watson, A. (1992). Efficient Updating of Kriging Estimates and Variances. Mathematical Geology, 24, 129-133
    • (1992) Mathematical Geology , vol.24 , pp. 129-133
    • Barnes, R.J.1    Watson, A.2
  • 3
    • 85028094963 scopus 로고    scopus 로고
    • Sequential design of computer experiments for the estimation of a probability of failure
    • Bect, J., Ginsbourger, D., Li, L., Picheny, V., and Vazquez, E. (2012). Sequential Design of Computer Experiments for the Estimation of a Probability of Failure. Statistics and Computing, 22, 773-793
    • (2012) Statistics and Computing , vol.22 , pp. 773-793
    • Bect, J.1    Ginsbourger, D.2    Li, L.3    Picheny, V.4    Vazquez, E.5
  • 4
    • 84867871496 scopus 로고    scopus 로고
    • Robust Gaussian Process-Based Global Optimization Using a Fully Bayesian Expected Improvement Criterion. in Learning and Intelligent Optimization
    • Berlin, Heidelberg: Springer- Verlag
    • Benassi, R., Bect, J., and Vazquez, E. (2011). Robust Gaussian Process-Based Global Optimization Using a Fully Bayesian Expected Improvement Criterion. in Learning and Intelligent Optimization, Lecture Notes in Computer Science (Vol. 6683), Berlin, Heidelberg: Springer-Verlag, pp. 176-190
    • (2011) Lecture Notes in Computer Science , vol.6683 , pp. 176-190
    • Benassi, R.1    Bect, J.2    Vazquez, E.3
  • 5
    • 54949147327 scopus 로고    scopus 로고
    • Efficient global reliability analysis for nonlinear implicit performance functions
    • Bichon, B. J., Eldred, M. S., Swiler, L. P., Mahadevan, S., and McFarland, J. M. (2008). Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions. AIAA Journal, 46, 2459-2468
    • (2008) AIAA Journal , vol.46 , pp. 2459-2468
    • Bichon, B.J.1    Eldred, M.S.2    Swiler, L.P.3    Mahadevan, S.4    McFarland, J.M.5
  • 6
    • 84890900037 scopus 로고    scopus 로고
    • Fast computation of the multi-points expected improvement with applications in batch selection in learning and intelligent optimization
    • Chevalier, C., and Ginsbourger, D. (2013). Fast Computation of the Multi-Points Expected Improvement With Applications in Batch Selection. in Learning and Intelligent Optimization, Lecture Notes in Computer Science (Vol. 7997). pp. 59-69
    • (2013) Lecture Notes in Computer Science , vol.7997 , pp. 59-69
    • Chevalier, C.1    Ginsbourger, D.2
  • 8
    • 84889096250 scopus 로고    scopus 로고
    • Kriginv: An efficient and user-friendly implementation of batch-sequential inversion strategies based on kriging
    • Chevalier, C., Picheny, V., and Ginsbourger, D. (2014). Kriginv: An Efficient and User-Friendly Implementation of Batch-Sequential Inversion Strategies Based on Kriging. Computational Statistics & Data Analysis, 71, 1021-1034
    • (2014) Computational Statistics & Data Analysis , vol.71 , pp. 1021-1034
    • Chevalier, C.1    Picheny, V.2    Ginsbourger, D.3
  • 10
    • 69249128063 scopus 로고    scopus 로고
    • The kriging update equations and their application to the selection of neighboring data
    • Emery, X. (2009). The Kriging Update Equations and Their Application to the Selection of Neighboring Data. Computational Geosciences, 13, 211-219
    • (2009) Computational Geosciences , vol.13 , pp. 211-219
    • Emery, X.1
  • 14
    • 0030456906 scopus 로고    scopus 로고
    • The updated kriging variance and optimal sample design
    • Gao, H., Wang, J., and Zhao, P. (1996). The Updated Kriging Variance and Optimal Sample Design. Mathematical Geology, 28, 295-313
    • (1996) Mathematical Geology , vol.28 , pp. 295-313
    • Gao, H.1    Wang, J.2    Zhao, P.3
  • 15
    • 0001341675 scopus 로고
    • Numerical computation of multivariate normal probabilities
    • Genz, A. (1992). Numerical Computation of Multivariate Normal Probabilities. Journal of Computational and Graphical Statistics, 1, 141-149
    • (1992) Journal of Computational and Graphical Statistics , vol.1 , pp. 141-149
    • Genz, A.1
  • 17
    • 65349171456 scopus 로고    scopus 로고
    • Adaptive design and analysis of supercomputer experiments
    • Gramacy, R., and Lee, H. (2009). Adaptive Design and Analysis of Supercomputer Experiments. Technometrics, 51, 130-145
    • (2009) Technometrics , vol.51 , pp. 130-145
    • Gramacy, R.1    Lee, H.2
  • 18
    • 79952811240 scopus 로고    scopus 로고
    • Particle learning of gaussian process models for sequential design and optimization
    • Gramacy, R. B., and Polson, N. G. (2011). Particle Learning of Gaussian Process Models for Sequential Design and Optimization. Journal of Computational and Graphical Statistics, 20, 102-118
    • (2011) Journal of Computational and Graphical Statistics , vol.20 , pp. 102-118
    • Gramacy, R.B.1    Polson, N.G.2
  • 19
    • 0035620460 scopus 로고    scopus 로고
    • Finding near-optimal bayesian experimental designs via genetic algorithms
    • Hamada, M., Martz, H., Reese, C., and Wilson, A. (2001). Finding Near-Optimal Bayesian Experimental Designs via Genetic Algorithms. The American Statistician, 55, 175-181
    • (2001) The American Statistician , vol.55 , pp. 175-181
    • Hamada, M.1    Martz, H.2    Reese, C.3    Wilson, A.4
  • 21
  • 25
    • 54949098362 scopus 로고    scopus 로고
    • Sequential experiment design for contour estimation from complex computer codes
    • Ranjan, P., Bingham, D., and Michailidis, G. (2008). Sequential Experiment Design for Contour Estimation From Complex Computer Codes. Technometrics, 50, 527-541
    • (2008) Technometrics , vol.50 , pp. 527-541
    • Ranjan, P.1    Bingham, D.2    Michailidis, G.3
  • 27
    • 0024607804 scopus 로고
    • Designs for computer experiments
    • Sacks, J., Schiller, S., and Welch, W. (1989a). Designs for Computer Experiments. Technometrics, 31, 41-47
    • (1989) Technometrics , vol.31 , pp. 41-47
    • Sacks, J.1    Schiller, S.2    Welch, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.