A Multivariate Stochastic Hybrid Model with Switching Coefficients and Jumps: Solution and Distribution
Author(s) -
Daniel P Siu,
G.S. Ladde
Publication year - 2011
Publication title -
journal of probability and statistics
Language(s) - English
Resource type - Journals
eISSN - 1687-9538
pISSN - 1687-952X
DOI - 10.1155/2011/720614
Subject(s) - mathematics , poisson distribution , homogeneous , stochastic differential equation , work (physics) , type (biology) , probability density function , class (philosophy) , stochastic process , multivariate statistics , distribution (mathematics) , statistical physics , mathematical optimization , mathematical analysis , computer science , statistics , mechanical engineering , ecology , physics , combinatorics , artificial intelligence , engineering , biology
In this work, a class of multidimensional stochastic hybrid dynamic models is studied. The system under investigation is a first-order linear nonhomogeneous system of Ito-Doob type stochastic differential equations with switching coefficients. The switching of the system is governed by a discrete dynamic which is monitored by a non-homogeneous Poisson process. Closed-form solutions of the systems are obtained. Furthermore, the major part of the work is devoted to finding closed-form probability density functions of the solution processes of linear homogeneous and Ornstein-Uhlenbeck type systems with jumps.
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