Advances in Applied Probability
- Adv. in Appl. Probab.
- Volume 44, Number 1 (2012), 196-225.
Numerical methods for the exit time of a piecewise-deterministic Markov process
We present a numerical method to compute the survival function and the moments of the exit time for a piecewise-deterministic Markov process (PDMP). Our approach is based on the quantization of an underlying discrete-time Markov chain related to the PDMP. The approximation we propose is easily computable and is even flexible with respect to the exit time we consider. We prove the convergence of the algorithm and obtain bounds for the rate of convergence in the case of the moments. We give an academic example and a model from the reliability field to illustrate the results of the paper.
Adv. in Appl. Probab., Volume 44, Number 1 (2012), 196-225.
First available in Project Euclid: 8 March 2012
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Brandejsky, Adrien; De Saporta, Benoîte; Dufour, François. Numerical methods for the exit time of a piecewise-deterministic Markov process. Adv. in Appl. Probab. 44 (2012), no. 1, 196--225. doi:10.1239/aap/1331216650. https://projecteuclid.org/euclid.aap/1331216650