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ON THE SIMULATION OF STOCHASTIC PROCESSES WITH CONTINUOUS STATE AND PARAMETER SPACE.

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Abstract

This paper deals with the hybrid and digital simulation of some important classes of stochastic processes: diffusion processes and differential equations with random parameters and/or random right hand side. Under certain assumptions these processes may be modeled by the solutions of stochastic differential equations of the Ito type. Various methods of how to simulate these solutions on hybrid and digital computers are discussed. It is shown that the stochastic versions of some well-known deterministic methods have to be modified in order to obtain a correct simulation. Numerical results are justified by convergence theorems.

Original languageEnglish
Pages67-71
Number of pages5
StatePublished - 1977
EventProc of the AICA (Assoc Int pour le Calc Analogique) Congr, 8th, Int Congr on Simul of Syst - Delft, Neth
Duration: 23 Aug 197628 Aug 1976

Conference

ConferenceProc of the AICA (Assoc Int pour le Calc Analogique) Congr, 8th, Int Congr on Simul of Syst
CityDelft, Neth
Period23/08/7628/08/76

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