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IOR
2006
192views more  IOR 2006»
13 years 7 months ago
Exact Simulation of Stochastic Volatility and Other Affine Jump Diffusion Processes
The stochastic differential equations for affine jump diffusion models do not yield exact solutions that can be directly simulated. Discretization methods can be used for simulati...
Mark Broadie, Özgür Kaya
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
14 years 1 months ago
Local and global order 3/2 convergence of a surrogate evolutionary algorithm
A Quasi-Monte-Carlo method based on the computation of a surrogate model of the fitness function is proposed, and its convergence at super-linear rate 3/2 is proved under rather ...
Anne Auger, Marc Schoenauer, Olivier Teytaud
NAA
2000
Springer
131views Mathematics» more  NAA 2000»
13 years 11 months ago
Parallel Monte Carlo Methods for Derivative Security Pricing
Abstract. Monte Carlo (MC) methods have proved to be flexible, robust and very useful techniques in computational finance. Several studies have investigated ways to achieve greater...
Giorgio Pauletto
TOSN
2011
116views more  TOSN 2011»
13 years 2 months ago
A model framework for greedy routing in a sensor network with a stochastic power scheme
A stochastic model is formulated and analyzed to study the advancements of messages under greedy routing in a sensor network with a power-saving scheme. The aim of this model is g...
Holger Paul Keeler, Peter G. Taylor
CORR
2010
Springer
135views Education» more  CORR 2010»
13 years 7 months ago
A stochastic analysis of greedy routing in a spatially-dependent sensor network
For a sensor network, as tractable spatially-dependent node deployment model is presented with the property that the density is inversely proportional to the sink distance. A stoc...
H. Paul Keeler