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Year of publication
Subject
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Computer experiment 6 computer experiment 5 Gaussian process 4 Kriging 4 intrinsic Kriging 4 metamodel 4 Simulation 3 Bootstrap approach 2 Bootstrap-Verfahren 2 Design of experiments 2 Mathematical programming 2 Mathematische Optimierung 2 Space-filling design 2 Stochastic process 2 Stochastischer Prozess 2 Theorie 2 Theory 2 global optimization 2 simulation 2 Approximation theory 1 Audze-Eglais 1 Centered L2 discrepancy 1 Circulant matrix 1 Correlation 1 Data center 1 Decision support systems 1 Dependence 1 Digital computer simulation 1 Enhanced Stochastic Evolutionary algorithm 1 Experiment 1 Experimental design 1 Fold-over 1 Gaussian process models 1 Gaussian processes 1 Hadamard matrix 1 Latent variable model 1 Latin hypercube design 1 Latin hypercube sampling 1 Mathematical models 1 Metamodels 1
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Online availability
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Free 6 Undetermined 5
Type of publication
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Book / Working Paper 6 Article 5
Type of publication (narrower categories)
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Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Working Paper 2 Thesis 1
Language
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Undetermined 8 English 3
Author
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Liu, Min-Qian 3 Georgiou, Stelios 2 Kleijnen, Jack P. C. 2 Kleijnen, Jack P.C. 2 Mehdad, E. 2 Mehdad, Ehsan 2 Asserin, Olivier 1 Chen, Hao 1 Den Hertog, Dick 1 Efthimiou, Ifigenia 1 Gu, Li 1 Husslage, B.G.M. 1 Iooss, Bertrand 1 Koukouvinos, Christos 1 Loredo, Alexandre 1 Petelet, Matthieu 1 Qian, Zhiguang 1 Rennen, G. 1 Yang, Jian-Feng 1 Yang, Xue 1 van Dam, Edwin Robert 1
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Institution
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Tilburg University, Center for Economic Research 3
Published in...
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Discussion Paper / Tilburg University, Center for Economic Research 3 Metrika 3 Discussion paper / Center for Economic Research, Tilburg University 2 AStA Advances in Statistical Analysis 1 Statistics & Probability Letters 1
Source
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RePEc 8 ECONIS (ZBW) 2 BASE 1
Showing 1 - 10 of 11
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Stochastic Intrinsic Kriging for Simulation Metamodelling
Kleijnen, Jack P.C.; Mehdad, E. - Tilburg University, Center for Economic Research - 2014
We derive intrinsic Kriging, using Matherons intrinsic random functions which eliminate the trend in classic Kriging. We formulate this intrinsic Kriging as a metamodel in deterministic and random simulation models. For random simulation we derive an experimental design that also specifies the...
Persistent link: https://www.econbiz.de/10011092372
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Global Optimization for Black-box Simulation via Sequential Intrinsic Kriging
Kleijnen, Jack P.C.; Mehdad, E. - Tilburg University, Center for Economic Research - 2014
In this paper we investigate global optimization for black-box simulations using metamodels to guide this optimization. As a novel metamodel we introduce intrinsic Kriging, for either deterministic or random simulation. For deterministic simulation we study the famous `efficient global...
Persistent link: https://www.econbiz.de/10011144433
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Stochastic intrinsic kriging for simulation metamodelling
Mehdad, Ehsan; Kleijnen, Jack P. C. - 2014
Persistent link: https://www.econbiz.de/10011283893
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Global optimization for black-box simulation via sequential intrinsic kriging
Mehdad, Ehsan; Kleijnen, Jack P. C. - 2014
Persistent link: https://www.econbiz.de/10011284535
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Construction of nearly orthogonal Latin hypercube designs
Efthimiou, Ifigenia; Georgiou, Stelios; Liu, Min-Qian - In: Metrika 78 (2015) 1, pp. 45-57
The Latin hypercube design (LHD) is a popular choice of experimental design when computer simulation is used to study a physical process. In this paper, we propose some methods for constructing nearly orthogonal Latin hypercube designs (NOLHDs) with 2, 4, 8, 12, 16, 20 and 24 factors having...
Persistent link: https://www.econbiz.de/10011151387
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Space-Filling Latin Hypercube Designs For Computer Experiments (Revision of CentER DP 2006-18)
van Dam, Edwin Robert; Den Hertog, Dick; Husslage, B.G.M.; … - Tilburg University, Center for Economic Research - 2008
In the area of computer simulation, Latin hypercube designs play an important role. In this paper the classes of maximin and Audze-Eglais Latin hypercube designs are considered. Up to now only several two-dimensional designs and a few higher dimensional designs for these classes have been...
Persistent link: https://www.econbiz.de/10011090728
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Resolvable orthogonal array-based uniform sliced Latin hypercube designs
Yang, Xue; Chen, Hao; Liu, Min-Qian - In: Statistics & Probability Letters 93 (2014) C, pp. 108-115
Sliced Latin hypercube designs, introduced by Qian (2012), are widely used for computer experiments with qualitative and quantitative factors, multiple experiments, cross-validation and stochastic optimization. In this paper, we propose a new class of sliced Latin hypercube design, called the...
Persistent link: https://www.econbiz.de/10010906225
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U-type and column-orthogonal designs for computer experiments
Georgiou, Stelios; Koukouvinos, Christos; Liu, Min-Qian - In: Metrika 77 (2014) 8, pp. 1057-1073
U-type designs and orthogonal Latin hypercube designs (OLHDs) have been used extensively for performing computer experiments. Both have good spaced filling properties in one-dimension. U-type designs may not have low correlations among the main effects, quadratic effects and two-factor...
Persistent link: https://www.econbiz.de/10011151394
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Computer experiments: design, modeling and integration
Qian, Zhiguang - 2006
The use of computer modeling is fast increasing in almost everyscientific, engineering and business arena. This dissertationinvestigates some challenging issues in design, modeling andanalysis of computer experiments, which will consist of four majorparts. In the first part, a new approach is...
Persistent link: https://www.econbiz.de/10009476038
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Construction of nearly orthogonal Latin hypercube designs
Gu, Li; Yang, Jian-Feng - In: Metrika 76 (2013) 6, pp. 819-830
Latin hypercube designs have found wide application in computer experiments. A number of methods have recently been proposed to construct orthogonal Latin hypercube designs. In this paper, we propose an approach for expanding the orthogonal Latin hypercube design in Sun et al. (Biometrika...
Persistent link: https://www.econbiz.de/10010994974
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