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CSDA
2011
12 years 11 months ago
Simulation smoothing for state-space models: A computational efficiency analysis
William J. McCausland, Shirley Miller, Denis Pelle...
PE
2000
Springer
118views Optimization» more  PE 2000»
13 years 4 months ago
A probabilistic dynamic technique for the distributed generation of very large state spaces
Conventional methods for state space exploration are limited to the analysis of small systems because they suffer from excessive memory and computational requirements. We have dev...
William J. Knottenbelt, Peter G. Harrison, Mark Me...
IPPS
2006
IEEE
13 years 10 months ago
Performance analysis of stochastic process algebra models using stochastic simulation
We present a translation of a generic stochastic process algebra model into a form suitable for stochastic simulation. By systematically generating rate equations from a process d...
Jeremy T. Bradley, Stephen T. Gilmore, Nigel Thoma...
JCNS
2010
104views more  JCNS 2010»
13 years 3 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
EPEW
2006
Springer
13 years 8 months ago
Model Checking for a Class of Performance Properties of Fluid Stochastic Models
Abstract. Recently, there is an explosive development of fluid approaches to computer and distributed systems. These approaches are inherently stochastic and generate continuous st...
Manuela L. Bujorianu, Marius C. Bujorianu