Problems with the Determination of the Noncommunicating Classes for Mcmc Applications in Pedigree Analysis E Problems with the Determination of the Noncommunicating Classes for Mcmc Applications in Pedigree Analysis
نویسندگان
چکیده
Exact calculations for probabilities on complex pedigrees are computationally intensive and very often infeasible. Markov chain Monte Carlo methods are frequently used to approximate probabilities and likelihoods of interest. However, when a locus with more than two alleles is considered , the underlying Markov chain is not guaranteed to be irreducible and the results of such analyses are unreliable. A method for nding the noncommunicating classes of the Markov chain would be very useful in designing algorithms that can jump between these classes. In this paper we will examine some existing work on this problem and point out its limitations. We will also 1 comment on the diiculty of developing a useful algorithm.
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