About: Hierarchical Subset Latin Hypercube Sampling for correlated random vectors

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In this paper, we suggest principles of a novel simulation method for analyses of functions g(X) of a random vector X, suitable for the cases when the evaluation of g(X) is very expensive. The method is based on Latin Hypercube Sampling strategy. The paper explains how the statistical, sensitivity and reliability analysis of g(X) can be divided into a hierarchical sequence of simulations with (subsets of samples of a random vector X) such that (i) the favourable properties of LHS are retained (low number of simulations needed for significant estimations of statistics of g(X) with a low variability of the estimation); (ii) all subsets can anytime be merged into one set while keeping its consistency (i.e. the simulation process can be halted e.g., hen reaching a certain prescribed statistical significance of the estimations). An important aspect of the method is that it efficiently simulates subsets samples of random vectors with focus on their correlation structure. The procedure is quite general and c In this paper, we suggest principles of a novel simulation method for analyses of functions g(X) of a random vector X, suitable for the cases when the evaluation of g(X) is very expensive. The method is based on Latin Hypercube Sampling strategy. The paper explains how the statistical, sensitivity and reliability analysis of g(X) can be divided into a hierarchical sequence of simulations with (subsets of samples of a random vector X) such that (i) the favourable properties of LHS are retained (low number of simulations needed for significant estimations of statistics of g(X) with a low variability of the estimation); (ii) all subsets can anytime be merged into one set while keeping its consistency (i.e. the simulation process can be halted e.g., hen reaching a certain prescribed statistical significance of the estimations). An important aspect of the method is that it efficiently simulates subsets samples of random vectors with focus on their correlation structure. The procedure is quite general and c (en)
Title	Hierarchical Subset Latin Hypercube Sampling for correlated random vectors Hierarchical Subset Latin Hypercube Sampling for correlated random vectors (en)
skos:prefLabel	Hierarchical Subset Latin Hypercube Sampling for correlated random vectors Hierarchical Subset Latin Hypercube Sampling for correlated random vectors (en)
skos:notation	RIV/00216305:26110/09:PU86025!RIV10-GA0-26110___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GA103/07/0760), P(KJB201720902)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Vořechovský, Miroslav
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta stavební
http://linked.open...dnocenehoVysledku	317076
http://linked.open...ai/riv/idVysledku	RIV/00216305:26110/09:PU86025
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	simulation, Latin hypercube sampling, correlation, progressive sampling, design of experiments, adaptive sample size, neural network learning, response surface, simulated annealing. (en)
http://linked.open.../riv/klicoveSlovo	correlation design of experiments simulation Latin hypercube sampling neural network learning adaptive sample size progressive sampling simulated annealing. response surface
http://linked.open...ontrolniKodProRIV	[E3EBCEFBE0CF]
http://linked.open...v/mistoKonaniAkce	Funchal. Madeira
http://linked.open...i/riv/mistoVydani	Funchal, Madeira, Portugal
http://linked.open...i/riv/nazevZdroje	First International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering
http://linked.open...in/vavai/riv/obor	EC
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...vavai/riv/projekt	Development of numerical methods for analyses of stochastic computational mechanics problems Soft computing in structural mechanics
http://linked.open...UplatneniVysledku	2009
http://linked.open...iv/tvurceVysledku	Vořechovský, Miroslav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2009-09-01 (xsd:date)
number of pages	7 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-1-905088-33-1
http://localhost/t...ganizacniJednotka	26110
is http://linked.open...avai/riv/vysledek of	Hierarchical Subset Latin Hypercube Sampling for correlated random vectors Hierarchical Subset Latin Hypercube Sampling for correlated random vectors Hierarchical Subset Latin Hypercube Sampling for correlated random vectors Hierarchical Subset Latin Hypercube Sampling for correlated random vectors

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