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Ksendal, B. (2003) Stochastic Differential Equations: An Introduction with Applications. Vol. XXVII, Springer, Berlin, 379 p. https://doi.org/10.1007/978-3-642-14394-6

has been cited by the following article:

• TITLE: Modeling Election Problem by a Stochastic Differential Equation

  AUTHORS: Nguyen Thanh Trung

  KEYWORDS: Election, Stochastic Differential Equation, Ito’s Formula

  JOURNAL NAME: American Journal of Operations Research, Vol.8 No.6, October 30, 2018

  ABSTRACT: The proportion of the favorable among voters to a nominee might change over times and depend on different factors for example: talent, reputation, party and even name order on election. The unobservable factors which might have minor impacts on the approval rate are modelized by random elements. The approval rate is initially described by the differential equation and then by the random differential equation including the above unobservable factors. We figure out the formula of the solution for the stochastic differential equation and simulate these solutions to identify the changes of the approval rate over time.