Study of Dependencies in the Dna of Some Bacteria via Markov Models Study of Dependencies in the Dna of Some Bacteria via Markov Models
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چکیده
Dependencies in DNA sequencies are frequently modeled using Markov models. A possible approach is to treat the observed transition tables for each one of the orders to be tested as a contingency table and use log-linear models to test order and stationarity of the chain. One problem that arises in this process is that the null hypotheses to be tested are systematically rejected due to the large sample sizes that are necessary to use in such analyses. Those problems can be avoided by the use of the Bayesian Information Criterion, BIC, developed by Raftery (1986).
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تاریخ انتشار 2008