Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4639309 | Journal of Computational and Applied Mathematics | 2013 | 12 Pages |
Abstract
We consider a bivariate Gauss–Markov process and we study the first passage time of one component through a constant boundary. We prove that its probability density function is the unique solution of a new integral equation and we propose a numerical algorithm for its solution. Convergence properties of this algorithm are discussed and the method is applied to the study of the integrated Brownian motion and to the integrated Ornstein–Uhlenbeck process. Finally a model of neuroscience interest is discussed.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Elisa Benedetto, Laura Sacerdote, Cristina Zucca,