Computational aspects of DNA mixture analysis

@article{Graversen2015ComputationalAO,
  title={Computational aspects of DNA mixture analysis},
  author={Therese Graversen and Steffen L. Lauritzen},
  journal={Statistics and Computing},
  year={2015},
  volume={25},
  pages={527-541}
}
Statistical analysis of DNA mixtures for forensic identification is known to pose computational challenges due to the enormous state space of possible DNA profiles. We describe a general method for computing the expectation of a product of discrete random variables using auxiliary variables and probability propagation in a Bayesian network. We propose a Bayesian network representation for genotypes, allowing computations to be performed locally involving only a few alleles at each step… 

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