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» Randomness, Stochasticity and Approximations
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FORMATS
2006
Springer
15 years 9 months ago
Extended Directed Search for Probabilistic Timed Reachability
Current numerical model checkers for stochastic systems can efficiently analyse stochastic models. However, the fact that they are unable to provide debugging information constrain...
Husain Aljazzar, Stefan Leue
EOR
2008
123views more  EOR 2008»
15 years 6 months ago
Fixed versus flexible production systems: A real options analysis
In this work, we address investment decisions in production systems by using real options. As is standard in literature, the stochastic variable is assumed to be normally distribu...
Dalila B. M. M. Fontes
157
Voted
ICASSP
2009
IEEE
16 years 19 days ago
SkellamShrink: Poisson intensity estimation for vector-valued data
Owing to the stochastic nature of discrete processes such as photon counts in imaging, a variety of real-world data are well modeled as Poisson random variables whose means are in...
Keigo Hirakawa, Patrick J. Wolfe
CDC
2009
IEEE
134views Control Systems» more  CDC 2009»
15 years 10 months ago
On LQG joint optimal scheduling and control under communication constraints
Abstract— In this paper, we consider a discrete-time stochastic system, where sensor measurements are sent over a network to the controller. The design objective is a non-classic...
Adam Molin, Sandra Hirche
WSC
2007
15 years 8 months ago
Feasibility study of variance reduction in the logistics composite model
The Logistics Composite Model (LCOM) is a stochastic, discrete-event simulation that relies on probabilities and random number generators to model scenarios in a maintenance unit ...
George P. Cole III, Alan W. Johnson, J. O. Miller