Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Isaacson, Dean
and
Tweedie, Richard L.
1978.
Criteria for strong ergodicity of Markov chains.
Journal of Applied Probability,
Vol. 15,
Issue. 01,
p.
87.
Isaacson, Dean
and
Arnold, Barry
1978.
Strong ergodicity for continuous-time Markov chains.
Journal of Applied Probability,
Vol. 15,
Issue. 4,
p.
699.
Isaacson, Dean
and
Arnold, Barry
1978.
Strong ergodicity for continuous-time Markov chains.
Journal of Applied Probability,
Vol. 15,
Issue. 04,
p.
699.
Cohen, Joel E.
1979.
Ergodic theorems in demography.
Bulletin of the American Mathematical Society,
Vol. 1,
Issue. 2,
p.
275.
Goldstein, Sheldon
1979.
Maximal coupling.
Zeitschrift f�r Wahrscheinlichkeitstheorie und Verwandte Gebiete,
Vol. 46,
Issue. 2,
p.
193.
Gidas, Basilis
1985.
Nonstationary Markov chains and convergence of the annealing algorithm.
Journal of Statistical Physics,
Vol. 39,
Issue. 1-2,
p.
73.
Anichkin, S. A.
1986.
The coupling of renewal processes and its applications.
Journal of Soviet Mathematics,
Vol. 35,
Issue. 3,
p.
2447.
Johnson, Jean T.
1987.
Continuous-time, constant causative Markov chains.
Stochastic Processes and their Applications,
Vol. 26,
Issue. ,
p.
161.
Johnson, Jean
and
Isaacson, Dean
1988.
Conditions for strong ergodicity using intensity matrices.
Journal of Applied Probability,
Vol. 25,
Issue. 01,
p.
34.
Zeifman, A. I.
1989.
Quasi-ergodicity for non-homogeneous continuous-time Markov chains.
Journal of Applied Probability,
Vol. 26,
Issue. 3,
p.
643.
Zeifman, A.I.
and
Isaacson, Dean L.
1994.
On strong ergodicity for nonhomogeneous continuous-time Markov chains.
Stochastic Processes and their Applications,
Vol. 50,
Issue. 2,
p.
263.
Zeifman, A. I.
1999.
On the weak ergodicity of nonhomogeneous continuous-time Markov chains.
Journal of Mathematical Sciences,
Vol. 93,
Issue. 4,
p.
612.
Mao, Yong-Hua
2006.
Convergence rates in strong ergodicity for Markov processes.
Stochastic Processes and their Applications,
Vol. 116,
Issue. 12,
p.
1964.
Chigansky, Pavel
2009.
Maximum likelihood estimator for hidden Markov models in continuous time.
Statistical Inference for Stochastic Processes,
Vol. 12,
Issue. 2,
p.
139.
Bergman, Clifford
and
Sethuraman, Sunder
2013.
Measuring Bias in Cyclic Random Walks.
Missouri Journal of Mathematical Sciences,
Vol. 25,
Issue. 2,
Cao, Xi-Ren
2015.
Optimization of Average Rewards of Time Nonhomogeneous Markov Chains.
IEEE Transactions on Automatic Control,
Vol. 60,
Issue. 7,
p.
1841.
Cao, Xi-Ren
2016.
State Classification of Time-Nonhomogeneous Markov Chains and Average Reward Optimization of Multi-Chains.
IEEE Transactions on Automatic Control,
Vol. 61,
Issue. 10,
p.
3001.
Shimizu, Nobutaka
and
Shiraga, Takeharu
2023.
Reversible random walks on dynamic graphs.
Random Structures & Algorithms,
Vol. 63,
Issue. 4,
p.
1100.