Existence Condition of Strong Stationary Times for Continuous Time Markov Chains on Discrete Graphs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability
Link
http://link.springer.com/article/10.1007/s10959-017-0746-4/fulltext.html
Reference14 articles.
1. Aldous, D., Diaconis, P.: Strong uniform times and finite random walks. Adv. Appl. Math. 8(1), 69–97 (1987). doi: 10.1016/0196-8858(87)90006-6
2. Anderson, W.J.: Continuous-Time Markov chains. Springer Series in Statistics: Probability and its Applications. Springer, New York (1991). doi: 10.1007/978-1-4612-3038-0 . (An applications-oriented approach)
3. Diaconis, P., Fill, J.A.: Strong stationary times via a new form of duality. Ann. Probab. 18(4), 1483–1522 (1990)
4. Diaconis, P., Saloff-Coste, L.: Separation cut-offs for birth and death chains. Ann. Appl. Probab. 16(4), 2098–2122 (2006). doi: 10.1214/105051606000000501
5. Fill, J.A.: Time to stationarity for a continuous-time Markov chain. Probab. Eng. Inform. Sci. 5(1), 61–76 (1991). doi: 10.1017/S0269964800001893
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