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Euler–Maruyama method
Results: 4

#	Item
1	Stochastic Modelling of the Spatial Spread of Influenza in Germany Christiane Dargatz, Vera Georgescu, Leonhard Held Ludwig-Maximilians-University, Munich September 2, 2005 Abstract: In geographical epidemiology, disease Add to Reading List Source URL: www.statistik.lmu.de Language: English - Date: 2005-09-02 05:35:56 Stochastic processes Compartmental models in epidemiology Scientific modeling Epidemic model Stochastic differential equation Influenza Euler–Maruyama method Differential of a function Mixing Statistics Mathematical analysis Epidemiology
2	Microsoft PowerPoint - multiresolution Add to Reading List Source URL: www.fields.utoronto.ca Language: English - Date: 2011-06-22 11:15:29 Stochastic differential equation CIR process Stochastic calculus Differential equation Continuous-time stochastic process Euler–Maruyama method Statistics Stochastic processes Ornstein–Uhlenbeck process
3	Fast strong approximation Monte-Carlo schemes for stochastic volatility models Christian Kahl∗ First version: This version: Add to Reading List Source URL: www.awdz65.dsl.pipex.com Language: English - Date: 2006-07-24 11:58:41 Financial economics Mathematical sciences Options Stochastic differential equations Differential equations Ornstein–Uhlenbeck process Stochastic volatility Volatility Euler–Maruyama method Statistics Mathematical finance Stochastic processes
4	Fast strong approximation Monte-Carlo schemes for stochastic volatility models Christian Kahl∗ First version: This version: Add to Reading List Source URL: www.pjaeckel.webspace.virginmedia.com Language: English - Date: 2011-07-26 17:11:58 Financial economics Mathematical sciences Options Stochastic differential equations Differential equations Ornstein–Uhlenbeck process Stochastic volatility Volatility Euler–Maruyama method Statistics Mathematical finance Stochastic processes

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