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» Optimizing efficiency of perturbative Monte Carlo method
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WSC
2007
14 years 12 months ago
Monte Carlo methods in the physical sciences
I will review the role that Monte Carlo methods play in the physical sciences. They are very widely used for a number of reasons: they permit the rapid and faithful transformation...
Malvin H. Kalos
71
Voted
SIAMSC
2010
130views more  SIAMSC 2010»
14 years 4 months ago
Quasi-Monte Carlo Method for Infinitely Divisible Random Vectors via Series Representations
Infinitely divisible random vector without Gaussian component admits representations of shot noise series. Due to possible slow convergence of the series, they have not been inves...
Junichi Imai, Reiichiro Kawai
NAA
2000
Springer
131views Mathematics» more  NAA 2000»
15 years 1 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
71
Voted
WSC
2004
14 years 11 months ago
Quasi-Monte Carlo Methods in Finance
We review the basic principles of Quasi-Monte Carlo (QMC) methods, the randomizations that turn them into variancereduction techniques, and the main classes of constructions under...
Pierre L'Ecuyer
75
Voted
TSP
2008
91views more  TSP 2008»
14 years 9 months ago
A Sequential Monte Carlo Method for Motif Discovery
We propose a sequential Monte Carlo (SMC)-based motif discovery algorithm that can efficiently detect motifs in datasets containing a large number of sequences. The statistical di...
Kuo-ching Liang, Xiaodong Wang, Dimitris Anastassi...