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WSC
1998
13 years 6 months ago
Bayesian Model Selection when the Number of Components is Unknown
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
Russell C. H. Cheng
ATAL
2006
Springer
13 years 8 months ago
Resource selection games with unknown number of players
In the context of pre-Bayesian games we analyze resource selection systems with unknown number of players. We prove the existence and uniqueness of a symmetric safety-level equili...
Itai Ashlagi, Dov Monderer, Moshe Tennenholtz
PAMI
1998
94views more  PAMI 1998»
13 years 4 months ago
Bayesian Approaches to Gaussian Mixture Modeling
—A Bayesian-based methodology is presented which automatically penalizes overcomplex models being fitted to unknown data. We show that, with a Gaussian mixture model, the approac...
Stephen J. Roberts, Dirk Husmeier, Iead Rezek, Wil...
WSC
1998
13 years 6 months ago
Comparison of Bayesian and Frequentist Assessments of Uncertainty for Selecting the Best System
An important problem in discrete-event stochastic simulation is the selection of the best system from a finite set of alternatives. There are many techniques for ranking and selec...
Koichiro Inoue, Stephen E. Chick
WSC
1997
13 years 6 months ago
Selecting the Best System: A Decision-Theoretic Approach
The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...
Stephen E. Chick