In this paper, we focus our attention on the Rényi entropy rate of hidden Markov processes under certain positivity assumptions. The existence of the Rényi entropy rate for such processes is established. Furthermore, we show that, with some extra “fast-forgetting” assumptions, the Rényi entropy rate of the approximating Markov processes exponentially converges to that of the original hidden Markov process, as the Markov order goes to infinity.link_to_subscribed_fulltex
Loosely speaking, the Shannon entropy rate is used to gauge a stochastic process’ intrinsic randomne...
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Abstract—A recent result presented the expansion for the entropy rate of a hidden Markov process (HM...
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Hidden Markov chains are widely applied statistical models of stochastic processes, from fundamental...
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We give relaxed sufficient conditions (compared to [2]) for analyticky of the entropy rate of a hidd...
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Let $K = \{0,1,...,q-1\}$. We use a special class of translation invariant measures on $K^\...
We prove that under mild positivity assumptions the entropy rate of a hidden Markov chain varies ana...
International audience—We study entropy rates of random sequences for general entropy functionals in...
Time-delayed actions appear as an essential component of numerous systems especially in evolution pr...
Loosely speaking, the Shannon entropy rate is used to gauge a stochastic process' intrinsic randomne...
Loosely speaking, the Shannon entropy rate is used to gauge a stochastic process’ intrinsic randomne...
The analyticity of the entropy and relative entropy rates of continuous-state hidden Markov models i...
We consider a hidden Markov model with multiple observation processes, one of which is chosen at eac...
Abstract—A recent result presented the expansion for the entropy rate of a hidden Markov process (HM...
Abstract—Consider a hidden Markov chain obtained as the observation process of an ordinary Markov ch...
Hidden Markov chains are widely applied statistical models of stochastic processes, from fundamental...
Abstract—We derive an asymptotic formula for entropy rate of a hidden Markov chain under certain par...
The relative entropy rate is a natural and useful measure of distance between two stochastic process...
We give relaxed sufficient conditions (compared to [2]) for analyticky of the entropy rate of a hidd...
The entropy of a binary symmetric Hidden Markov Process is calculated as an expansion in the noise p...
Let $K = \{0,1,...,q-1\}$. We use a special class of translation invariant measures on $K^\...
We prove that under mild positivity assumptions the entropy rate of a hidden Markov chain varies ana...
International audience—We study entropy rates of random sequences for general entropy functionals in...
Time-delayed actions appear as an essential component of numerous systems especially in evolution pr...
Loosely speaking, the Shannon entropy rate is used to gauge a stochastic process' intrinsic randomne...
Loosely speaking, the Shannon entropy rate is used to gauge a stochastic process’ intrinsic randomne...
The analyticity of the entropy and relative entropy rates of continuous-state hidden Markov models i...
We consider a hidden Markov model with multiple observation processes, one of which is chosen at eac...