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» Bayesian Analysis for Simulation Input and Output
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GLOBECOM
2007
IEEE
13 years 12 months ago
Output Traffic Characterization of Policers and Shapers with Long-Range Dependent Input Traffic
 Long-range dependence (LRD) is a largely verified property of Internet traffic, which severely affects network queuing. An approach for guaranteeing performance requirements is...
Stefano Bregni, Paolo Giacomazzi, Gabriella Saddem...
ICC
2007
IEEE
127views Communications» more  ICC 2007»
13 years 12 months ago
Properties of the Traffic Output by a Leaky-Bucket Policer with Long-Range Dependent Input Traffic
 Long-range dependence (LRD) is a largely verified property of Internet traffic, which severely affects queuing performance in network buffers. A common approach for guaranteein...
Stefano Bregni, Paolo Giacomazzi, Gabriella Saddem...
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
ICML
2006
IEEE
14 years 6 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
WSC
2004
13 years 7 months ago
Bayesian Methods for Discrete Event Simulation
Bayesian methods are now used in a variety of ways in discrete-event simulation. Applications include input modeling, response surface modeling, uncertainty analysis, and experime...
Stephen E. Chick