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Kernel estimation for stationary density of Markov chains with general state space
Authors:Viviane S M Campos  Chang C Y Dorea
Institution:(1) Depto. de Matematica, Universidade Federal do Rio Grande do Norte, 59072-970 Natal-RN, Brazil;(2) Depto. de Matematica, Universidade de Brasilia, 70910-900 Brasilia-DF, Brazil
Abstract:Let {X n } n ≥0 be a Markov chain with stationary distributionf(x)ν(dx), ν being a σ-finite measure onE⊂R d . Under strict stationarity and mixing conditions we obtain the consistency and asymptotic normality for a general class of kernel estimates off(·). When the assumption of stationarity is dropped these results are extended to geometrically ergodic chains. Partially supported by CAPES. Partially supported by CNPq, PROCAD/CAPES, PRONEX/FAPDF and FINATEC/UnB.
Keywords:Kernel estimator  general state space  mixing condition  geometric ergodicity
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