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Scalable Framework for Importance Sampling (infinite-sites model) in Population Genetics May 13, 2014
a Reproducible Research as Championed by Victoria Stodden
Importance Sampling (IS): A Scalable Framework
General framework for importance sampling, to compute data likelihood under the infinite sites model of mutation. Key concepts: Sampler, Proposal and Factor.
Extension of the general framework for the domain of genealogies in Coalescent theory.
Implementations of the standard proposals for infinite-sites model of mutation: EGT, SD and HUW.
Importance Sampling (IS): Computing Likelihood
The brown dog jumped over the black fox. The brown dog jumped over the black fox. The brown dog jumped over the black fox.
The brown dog jumped over the black fox. The brown dog jumped over the black fox. The brown dog jumped over the black fox.
The brown dog jumped over the black fox. The brown dog jumped over the black fox. The brown dog jumped over the black fox.
Importance Sampling (IS): Innovation - Significance of running Time
The brown dog jumped over the black fox. The brown dog jumped over the black fox. The brown dog jumped over the black fox.
The brown dog jumped over the black fox. The brown dog jumped over the black fox. The brown dog jumped over the black fox.
The brown dog jumped over the black fox. The brown dog jumped over the black fox. The brown dog jumped over the black fox.
Updates: Exact Probability & Phylogeny
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