Stochastic Calculus

Stochastic Calculus

Lambert M. Surhone, Miriam T. Timpledon, Susan F. Marseken

     

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Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-6-1303-3122-1
Объём: 76 страниц
Масса: 135 г
Размеры(В x Ш x Т), см: 23 x 16 x 1

High Quality Content by WIKIPEDIA articles! High Quality Content by WIKIPEDIA articles! Stochastic calculus is a branch of mathematics that operates on stochastic processes. It allows a consistent theory of integration to be defined for integrals of stochastic processes with respect to stochastic processes. It is used to model systems that behave randomly. The best-known stochastic process to which stochastic calculus is applied is the Wiener process (named in honor of Norbert Wiener), which is used for modeling Brownian motion as described by Albert Einstein and other physical diffusion processes in space of particles subject to random forces. Since the 1970s, the Wiener process has been widely applied in financial mathematics to model the evolution in time of stock prices and bond interest rates.

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