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On the Information Bottleneck for Ergodic Finite-State Markov Chains: Stationary Approximation and Asymptotic Optimality
In this paper, we investigate the information bottleneck problem for sources that follow discrete-time ergodic finite-state Markov chains. We propose treating observations generated by the time-varying Markov chain as if they were drawn from its unique stationary distribution, and we use the solutio
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