Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Ball, Frank G.
and
Rice, John A.
1992.
Stochastic models for ion channels: Introduction and bibliography.
Mathematical Biosciences,
Vol. 112,
Issue. 2,
p.
189.
Ball, Frank
Milne, Robin K.
and
Yeo, Geoffrey F.
1994.
Continuous-time Markov chains in a random environment, with applications to ion channel modelling.
Advances in Applied Probability,
Vol. 26,
Issue. 4,
p.
919.
Ledoux, James
1995.
On weak lumpability of denumerable Markov chains.
Statistics & Probability Letters,
Vol. 25,
Issue. 4,
p.
329.
Breton, Nicolas
Jacob, Christine
and
Daegelen, Patrick
1997.
Prediction of Sequentially Optimal RNA Secondary Structures.
Journal of Biomolecular Structure and Dynamics,
Vol. 14,
Issue. 6,
p.
727.
Ball, Frank
Milne, Robin K.
Tame, Ian D.
and
Yeo, Geoffrey F.
1997.
Superposition of Interacting Aggregated Continuous-Time Markov Chains.
Advances in Applied Probability,
Vol. 29,
Issue. 1,
p.
56.
Spreij, Peter
2001.
On the Markov property of a finite hidden Markov chain.
Statistics & Probability Letters,
Vol. 52,
Issue. 3,
p.
279.
López, F. Javier
and
Sanz, Gerardo
2002.
Markovian couplings staying in arbitrary subsets of the state space.
Journal of Applied Probability,
Vol. 39,
Issue. 01,
p.
197.
López, F. Javier
and
Sanz, Gerardo
2002.
Markovian couplings staying in arbitrary subsets of the state space.
Journal of Applied Probability,
Vol. 39,
Issue. 1,
p.
197.
Yeo, G.F.
Milne, R.K.
Madsen, B.W.
Li, Y.
and
Edeson, R.O.
2003.
Stochastic Processes: Modelling and Simulation.
Vol. 21,
Issue. ,
p.
931.
Gurvits, Leonid
and
Ledoux, James
2005.
Markov property for a function of a Markov chain: A linear algebra approach.
Linear Algebra and its Applications,
Vol. 404,
Issue. ,
p.
85.
Zhao, Zhen
Weber, Steven
and
de Oliveira, Jaudelice C.
2009.
Preemption rates for a parallel link loss network.
Performance Evaluation,
Vol. 66,
Issue. 1,
p.
21.
Yap, V. B.
2009.
Similar States in Continuous-Time Markov Chains.
Journal of Applied Probability,
Vol. 46,
Issue. 2,
p.
497.
Li, Quan-Lin
2010.
Constructive Computation in Stochastic Models with Applications.
p.
389.
Ephraim, Yariv
and
Mark, Brian L.
2012.
On forward recursive estimation for bivariate Markov chains.
p.
1.
Mark, Brian L.
and
Ephraim, Yariv
2013.
An EM algorithm for continuous-time bivariate Markov chains.
Computational Statistics & Data Analysis,
Vol. 57,
Issue. 1,
p.
504.
Ephraim, Y.
and
Mark, B. L.
2013.
Consistency of Maximum Likelihood Parameter Estimation for Bivariate Markov Chains.
Stochastic Models,
Vol. 29,
Issue. 1,
p.
89.
Bielecki, Tomasz
Jakubowski, Jacek
and
Niewęgłowski, Mariusz
2013.
Intricacies of dependence between components of multivariate Markov chains: weak Markov consistency and weak Markov copulae.
Electronic Journal of Probability,
Vol. 18,
Issue. none,
YAP, Von Bing
2013.
A unified approach to the transition matrices of DNA substitution models.
Mathematical Biosciences,
Vol. 242,
Issue. 2,
p.
111.
Chen, Xian
and
Ma, Zhi-Ming
2014.
A transformation of Markov jump processes and applications in genetic study.
Discrete & Continuous Dynamical Systems - A,
Vol. 34,
Issue. 12,
p.
5061.
Mark, Brian L.
and
Ephraim, Yariv
2014.
Explicit Causal Recursive Estimators for Continuous-Time Bivariate Markov Chains.
IEEE Transactions on Signal Processing,
Vol. 62,
Issue. 10,
p.
2709.