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The deviation matrix of an ergodic, continuous-time Markov chain with transition probability matrix $P(.)$ and ergodic matrix $\Pi$ is the matrix $D \equiv \int_0^{\infty} (P(t)-\Pi)dt$. We give conditions for $D$ to exist and discuss properties and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dris___00893::d1fef37201071415dd2f72d0b135b354
Autor:
Coolen-Schrijner, P., van Doorn, E.A.
The deviation matrix of an ergodic, continuous-time Markov chain with transition probability matrix $P(.)$ and ergodic matrix $\Pi$ is the matrix $D \equiv \int_0^{\infty} (P(t)-\Pi)dt$. We give conditions for $D$ to exist and discuss properties and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::ffac148db4531c5fe663516af3fe7825
https://research.utwente.nl/en/publications/the-deviation-matrix-of-a-continuoustime-markov-chain(be8a0a6c-2683-439d-8e92-ddfc1cb0f554).html
https://research.utwente.nl/en/publications/the-deviation-matrix-of-a-continuoustime-markov-chain(be8a0a6c-2683-439d-8e92-ddfc1cb0f554).html