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ICLP
2010
Springer
13 years 8 months ago
Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
Daan Fierens
WSC
2008
13 years 7 months ago
Implementable MSE-optimal dynamic partial-overlapping batch means estimators for steady-state simulations
Estimating the variance of the sample mean from a stochastic process is essential in assessing the quality of using the sample mean to estimate the population mean which is the fu...
Wheyming Tina Song, Mingchang Chih
WSC
2007
13 years 7 months ago
Indifference-zone subset selection procedures: using sample means to improve efficiency
Two-stage selection procedures have been widely studied and applied in determining the required sample size (i.e., the number of replications or batches) for selecting the best of...
E. Jack Chen
APPML
2006
131views more  APPML 2006»
13 years 5 months ago
Improvement in estimating the population mean in simple random sampling
This paper proposes some estimators for the population mean using the ratio estimators presented in [C. Kadilar, H. Cingi, Ratio estimators in simple random sampling, Applied Math...
Cem Kadilar, Hulya Cingi
WSC
1997
13 years 6 months ago
Optimal Quadratic-Form Estimator of the Variance of the Sample Mean
A classical problem of stochastic simulation is how to estimate the variance of the sample mean of dependent but stationary outputs. Many variance estimators, such as the batch me...
Wheyming Tina Song, Neng-Hui Shih, Mingjian Yuan