<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<item>
  <id>00559238</id>
  <dt>j</dt>
  <an>00559238</an>
  <augroup>
    <au>Lynch, James F.</au>
  </augroup>
  <ti>Threshold functions for Markov chains: A graph theoretic approach.</ti>
  <so>Comb. Probab. Comput. 2, No.3, 351-362 (1993).</so>
  <py>1993</py>
  <pu>Cambridge University Press, Cambridge</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>Markov chains with variable transition</ut>
    <ut>stationary distribution</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1017/S0963548300000729</li>
  </ligroup>
  <abgroup>
    <ab>The author studies finite state Markov chains with variable transition probabilities $P(\varepsilon)= [p\sb{ij}(\varepsilon)]$ depending on a small parameter $\varepsilon$. By using the methods of random graph theory, he obtains a new proof of convergence of $P(\varepsilon)\sp t$ to a stationary distribution as $\varepsilon\to 0$. Here $t= t(\varepsilon)$ is a function satisfying certain growth conditions. A new algorithm for computing the limit distributions is given.</ab>
    <rv>Z.Vondra\v{c}ek (Saarbr\"ucken)</rv>
  </abgroup>
</item>