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Compound Poisson approximations for sums of Markov dependent random variables

  • Vydas Čekanavičius,
  • Gabija Liaudanskaitė

摘要

Closeness of Markov binomial distribution to the set of infinitely divisible distributions is measured in r and Lr metrics. For a Markov chain with finite number of states, we construct a compound Poisson approximation of order o(n−1/2) in the total-variation metric. The characteristic function method is used for the proof.