Abstract
This paper concerns a Markovian piecewise linear process, based on a continuous-time Markov chain with a finite state space. The process describes the movement of a particle that takes a new linear trend starting from a new random point (with state-dependent distribution) after each trend switch. The distribution of particle's position is derived in a closed form. In some special cases the distributions of the level passage times are provided explicitly.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 78-86 |
| Number of pages | 9 |
| Journal | Statistics and Probability Letters |
| Volume | 131 |
| DOIs | |
| State | Published - Dec 2017 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty
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