This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Abstract - #309256 |
Title:
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WITHDRAWN - Markov Chain Likelihood in Long Binary Sequence Data
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Author(s):
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Jianping Sun and Bruce G. Lindsay
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Companies:
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Address:
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Keywords:
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Statistical Genetics ;
Markov Chain Likelihood ;
Ancestral Distribution
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Abstract:
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The primary goal of this talk is the analysis of long sequence data generated in biology, such as SNP data. Suppose we observe n current descendant sequences of length L, one interesting question is how to estimate the unknown ancestral distribution considering realistic biology complexities such as mutation and recombination. We have developed a statistical model with both mutation and recombination to estimate the ancestral distribution. However, though we can write out the full likelihood for ancestral distribution explicitly, there is an enormous computation challenge due to an enormous number of recombination possibilities, which grows exponentially in sequence length. Therefore, we apply Markov Chain likelihood as an approximation to solve the problem. In this talk, we'll introduce our developed statistical model and investigate the performance of Markov Chain likelihood method.
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