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Convergence of some time inhomogeneous Markov chains via spectral techniques Export

Stochastic Processes and their Applications, Vol. 117, No. 8. (August 2007), pp. 961-979.

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ergodicity hmm

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Borel-Doeblin theorem (bounding the distance of incorrectly initialized inhomogenous Markov chain from invariant distribution)

Bounds on eigenvalues

yaroslavvb (public note) - 2007-10-18 01:06:30

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We consider the problem of giving explicit spectral bounds for time inhomogeneous Markov chains on a finite state space. We give bounds that apply when there exists a probability [pi] such that each of the different steps corresponds to a nice ergodic Markov kernel with stationary measure [pi]. For instance, our results provide sharp bounds for models such as semi-random transpositions and semi-random insertions (in these cases [pi] is the uniform probability on the symmetric group).


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