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FS
2011
168views more  FS 2011»
13 years 13 days ago
Gamma expansion of the Heston stochastic volatility model
Abstract We derive an explicit representation of the transitions of the Heston stochastic volatility model and use it for fast and accurate simulation of the model. Of particular i...
Paul Glasserman, Kyoung-Kuk Kim
PE
2011
Springer
266views Optimization» more  PE 2011»
13 years 3 months ago
Lumping partially symmetrical stochastic models
Performance and dependability evaluation of complex systems by means of dynamic stochastic models (e.g. Markov chains) may be impaired by the combinatorial explosion of their stat...
Souheib Baarir, Marco Beccuti, Claude Dutheillet, ...
ANOR
2010
110views more  ANOR 2010»
13 years 9 months ago
Re-solving stochastic programming models for airline revenue management
We study some mathematical programming formulations for the origin-destination model in airline revenue management. In particular, we focus on the traditional probabilistic model ...
Lijian Chen, Tito Homem-de-Mello
NC
2010
150views Neural Networks» more  NC 2010»
13 years 7 months ago
Deterministic and stochastic P systems for modelling cellular processes
This paper presents two approaches based on metabolic and stochastic P systems, together with their associated analysis methods, for modelling biological systems and illustrates th...
Marian Gheorghe, Vincenzo Manca, Francisco Jos&eac...
BC
2004
98views more  BC 2004»
13 years 8 months ago
A stochastic model for the detection of coherent motion
A computational model is presented for the detection of coherent motion based on template matching and hidden Markov models. The premise of this approach is that the growth in dete...
Jason Lee, Willy Wong