Abstract | ||
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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. |
Year | DOI | Venue |
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2005 | 10.1109/TIT.2005.844093 | IEEE Transactions on Information Theory |
Keywords | Field | DocType |
Markov processes,entropy,information theory,probability,countable alphabet,kth-order Markov chains,order estimation,unknown stationary process,Markov chains,order estimation,stationary processes | Discrete mathematics,Combinatorics,Countable set,Markov process,Markov chain,Stationary process,Almost surely,Estimation theory,Matrix analytic method,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
51 | 4 | 0018-9448 |
Citations | PageRank | References |
9 | 0.65 | 5 |
Authors | ||
2 |