Sciweavers

403 search results - page 5 / 81
» Accounting for input model and parameter uncertainty in simu...
Sort
View
WSC
1997
13 years 8 months ago
Bayesian Analysis for Simulation Input and Output
The paper summarizes some important results at the intersection of the fields of Bayesian statistics and stochastic simulation. Two statistical analysis issues for stochastic sim...
Stephen E. Chick
SIAMSC
2010
159views more  SIAMSC 2010»
13 years 5 months ago
Parameter and State Model Reduction for Large-Scale Statistical Inverse Problems
A greedy algorithm for the construction of a reduced model with reduction in both parameter and state is developed for efficient solution of statistical inverse problems governed b...
Chad Lieberman, Karen Willcox, Omar Ghattas
WSC
2001
13 years 8 months ago
Resampling methods for input modeling
Stochastic simulation models are used to predict the behavior of real systems whose components have random variation. The simulation model generates artificial random quantities b...
Russell R. Barton, Lee Schruben
CORR
2010
Springer
120views Education» more  CORR 2010»
13 years 7 months ago
Modeling of 2D and 3D Assemblies Taking Into Account Form Errors of Plane Surfaces
The tolerancing process links the virtual and the real worlds. From the former, tolerances define a variational geometrical language (geometric parameters). From the latter, there...
Serge Samper, Pierre-Antoine Adragna, Hugues Favre...
AUTOMATICA
2004
77views more  AUTOMATICA 2004»
13 years 7 months ago
Non-asymptotic quality assessment of generalised FIR models with periodic inputs
In any real-life identification problem, only a finite number of data points is available. On the other hand, almost all results in stochastic identification pertain to asymptotic...
Marco C. Campi, Su Ki Ooi, Erik Weyer