Bayesian Simulation Optimization with Common Random Numbers

Author(s):  
Michael Pearce ◽  
Matthias Poloczek ◽  
Juergen Branke
1979 ◽  
Vol 11 (04) ◽  
pp. 804-819 ◽  
Author(s):  
Philip Heidelberger ◽  
Donald L. Iglehart

Suppose two alternative designs for a stochastic system are to be compared. These two systems can be simulated independently or dependently. This paper presents a method for comparing two regenerative stochastic processes in a dependent fashion using common random numbers. A set of sufficient conditions is given that guarantees that the dependent simulations will produce a variance reduction over independent simulations. Numerical examples for a variety of simple stochastic models are included which illustrate the variance reduction achieved.


1979 ◽  
Vol 25 (7) ◽  
pp. 649-656 ◽  
Author(s):  
R. D. Wright ◽  
T. E. Ramsay

1992 ◽  
Vol 38 (6) ◽  
pp. 884-908 ◽  
Author(s):  
Paul Glasserman ◽  
David D. Yao

2013 ◽  
Vol 48 (4) ◽  
pp. 1508-1525 ◽  
Author(s):  
Daniel R. Murphy ◽  
Robert W. Klein ◽  
Lee J. Smolen ◽  
Timothy M. Klein ◽  
Stephen D. Roberts

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