Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1155691 | Stochastic Processes and their Applications | 2013 | 44 Pages |
Abstract
The method starts by constructing a discrete time process X on a finite state space, where XÏ has law μ, for a geometric time Ï, independent of the diffusion. This argument is developed, using a fixed point theorem, to give conditions for the existence of a process with prescribed law when stopped at an independent time with negative binomial distribution. Reducing the time mesh gives a continuous time diffusion with prescribed law for Ï with Gamma distribution. Keeping E[Ï]=t fixed, the parameters of the Gamma distribution are altered, giving the prescribed law for the deterministic time. An approximating sequence establishes the result for arbitrary probability measure over R.
Keywords
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Physical Sciences and Engineering
Mathematics
Mathematics (General)
Authors
John M. Noble,