Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Karr, Alan F.
1984.
Estimation and reconstruction for zero-one Markov processes.
Stochastic Processes and their Applications,
Vol. 16,
Issue. 3,
p.
219.
1993.
Statistics for Spatial Data.
p.
803.
Ephraim, Y.
and
Merhav, N.
2002.
Hidden Markov processes.
IEEE Transactions on Information Theory,
Vol. 48,
Issue. 6,
p.
1518.
Roberts, W.J.J.
Ephraim, Y.
and
Dieguez, E.
2006.
On Ryde/spl acute/n's EM algorithm for estimating MMPPs.
IEEE Signal Processing Letters,
Vol. 13,
Issue. 6,
p.
373.
Broman, Erik I.
2007.
Stochastic domination for a hidden Markov chain with applications to the contact process in a randomly evolving environment.
The Annals of Probability,
Vol. 35,
Issue. 6,
Ephraim, Y.
and
Roberts, W.J.J.
2009.
An EM Algorithm for Markov Modulated Markov Processes.
IEEE Transactions on Signal Processing,
Vol. 57,
Issue. 2,
p.
463.
2010.
Modeling and Dimensioning of Mobile Networks.
p.
175.
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.
Lange, Jane M.
Hubbard, Rebecca A.
Inoue, Lurdes Y. T.
and
Minin, Vladimir N.
2015.
A Joint Model for Multistate Disease Processes and Random Informative Observation Times, with Applications to Electronic Medical Records Data.
Biometrics,
Vol. 71,
Issue. 1,
p.
90.
Choquet, Rémi
and
Yoccoz, Nigel
2018.
Markov‐modulated Poisson processes as a new framework for analysing capture–recapture data.
Methods in Ecology and Evolution,
Vol. 9,
Issue. 4,
p.
929.
Fulvia, Pennoni
Paas, Leo
and
Bartolucci, Francesco
2018.
Inverse-Probability-of-Treatment Weighting for Endogeneity Correction: A Hidden Markov Model for Assessing Effects of Multiple Direct Mail Campaigns.
SSRN Electronic Journal,
Gámiz, María Luz
Limnios, Nikolaos
and
Segovia-García, Mari Carmen
2023.
The continuous-time hidden Markov model based on discretization. Properties of estimators and applications.
Statistical Inference for Stochastic Processes,
Vol. 26,
Issue. 3,
p.
525.