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Ranking and Selection : A New Sequential Bayesian Proced..:

Görder, Bjürn ; Kolonko, Michael
ACM Transactions on Modeling and Computer Simulation (TOMACS). 29 (2019) 1 - p. 1-24 , 2019

Link: https://dl.acm.org/doi/10.1145/3241042

RT Journal
T1 <Title>Ranking and Selection				: A New Sequential Bayesian Procedure for Use with Common Random Numbers</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3241042&Exemplar=1&LAN=DE
				
A1 Görder, Bjürn
A1 Kolonko, Michael
PB ACM
YR 2019
SN 1049-3301
SN 1558-1195
K1 Bayesian model
K1 Ranking and selection
K1 approximate posterior
K1 missing data
K1 ordinal optimization
K1 unknown covariance
K1 Mathematics of computing
K1 Probability and statistics
K1 Probabilistic reasoning algorithms
K1 Sequential Monte Carlo methods
K1 Expectation maximization
K1 Probabilistic inference problems
K1 Bayesian computation
K1 Computing methodologies
K1 Modeling and simulation
K1 Simulation evaluation
K1 Multivariate statistics
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Mathematical optimization
K1 Discrete optimization
K1 Optimization with randomized search heuristics
K1 Evolutionary algorithms
JF ACM Transactions on Modeling and Computer Simulation (TOMACS)
VO 29
IS 1
SP 1
OP 24
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3241042
DO https://dl.acm.org/doi/10.1145/3241042
SF ELIB - SuUB Bremen

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