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EOR
2006
113views more  EOR 2006»
15 years 6 months ago
Validation of regression metamodels in simulation: Bootstrap approach
Simulation experiments are often analyzed through a linear regression model of their input/output data. Such an analysis yields a metamodel or response surface for the underlying ...
Jack P. C. Kleijnen, David Deflandre
WSC
2004
15 years 7 months ago
New Event-driven Sampling Techniques for Network Reliability Estimation
Exactly computing network reliability measures is an NPhard problem. Therefore, Monte Carlo simulation has been frequently used by network designers to obtain accurate estimates. ...
Abdullah Konak, Alice E. Smith, Sadan Kulturel-Kon...
CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 6 months ago
Estimating Signals with Finite Rate of Innovation from Noisy Samples: A Stochastic Algorithm
As an example of the recently introduced concept of rate of innovation, signals that are linear combinations of a finite number of Diracs per unit time can be acquired by linear fi...
Vincent Yan Fu Tan, Vivek K. Goyal
CSDA
2007
81views more  CSDA 2007»
15 years 6 months ago
A stochastic EM algorithm for a semiparametric mixture model
Recently, there has been a considerable interest in finite mixture models with semi-/non-parametric component distributions. Identifiability of such model parameters is generall...
Laurent Bordes, Didier Chauveau, Pierre Vandekerkh...
SIGGRAPH
1994
ACM
15 years 10 months ago
The RADIANCE lighting simulation and rendering system
This paper describes a physically-based rendering system tailored to the demands of lighting design and architecture. The simulation uses a light-backwards ray-tracing method with...
Gregory J. Ward