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WSC
1997
13 years 6 months ago
A New Variance-Reduction Technique for Regenerative Simulations of Markov Chains
We propose a new estimator for some performance measures obtained from a regenerative simulation of a discrete-time Markov chain. Our new estimator is based on the idea of generat...
James M. Calvin, Marvin K. Nakayama
WSC
1998
13 years 6 months ago
Exploiting Multiple Regeneration Sequences in Simulation Output Analysis
The regenerative method of simulation output analysis exploits the regenerative structure of a stochastic process to break up a path into independent and identically distributed c...
James M. Calvin, Marvin K. Nakayama
IOR
2008
91views more  IOR 2008»
13 years 4 months ago
A Randomized Quasi-Monte Carlo Simulation Method for Markov Chains
We introduce and study a randomized quasi-Monte Carlo method for estimating the state distribution at each step of a Markov chain. The number of steps in the chain can be random an...
Pierre L'Ecuyer, Christian Lécot, Bruno Tuf...
APIN
2004
107views more  APIN 2004»
13 years 4 months ago
Designing Polymer Blends Using Neural Networks, Genetic Algorithms, and Markov Chains
In this paper we present a new technique to simulate polymer blends that overcomes the shortcomings in polymer system modeling. This method has an inherent advantage in that the v...
N. K. Roy, Walter D. Potter, D. P. Landau
PE
2002
Springer
132views Optimization» more  PE 2002»
13 years 4 months ago
Performance evaluation with temporal rewards
Today many formalisms exist for specifying complex Markov chains. In contrast, formalisms for specifying rewards, enabling the analysis of long-run average performance properties,...
Jeroen Voeten