Subgeometric ergodicity of Markov chains
نویسندگان
چکیده
When f ≡ 1, the f -norm is the total variation norm, which is denoted ‖μ‖TV. Assume that P is aperiodic positive Harris recurrent with stationary distribution π. Then the iterated kernels P(x, ·) converge to π. The rate of convergence of P(x, .) to π does not depend on the starting state x, but exact bounds may depend on x. Hence, it is of interest to obtain non uniform or quantitative bounds of the following form
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تاریخ انتشار 2008