Title :
Order estimation of Markov chains
Author :
Morv, Gusztáv ; Weiss, Benjamin
Author_Institution :
Res. Group for Informatics & Electron., Hungarian Acad. of Sci., Budapest, Hungary
fDate :
4/1/2005 12:00:00 AM
Abstract :
Estimators χn(X0, X1, ..., Xn), are described which, when applied to an unknown stationary process taking values from a countable alphabet χ, converge almost surely to k in case the process is a kth-order Markov chain and to infinity otherwise.
Keywords :
Markov processes; entropy; information theory; probability; countable alphabet; kth-order Markov chains; order estimation; unknown stationary process; Chaos; Convergence; Entropy; H infinity control; Informatics; Large-scale systems; Mathematics; Pattern recognition; Statistical learning; Testing; Markov chains; order estimation; stationary processes;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2005.844093