The TimeMachine for inference on stochastic trees

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Title: The TimeMachine for inference on stochastic trees
Authors: Campanella, G
Iorio, MD
Jasra, A
Chadeau-Hyam, M
Item Type: Working Paper
Abstract: The simulation of genealogical trees backwards in time, from observations up to the most recent common ancestor (MRCA), is hindered by the fact that, while approaching the root of the tree, coalescent events become rarer, with a corresponding increase in computation time. The recently proposed Time Machine tackles this issue by stopping the simulation of the tree before reaching the MRCA and correcting for the induced bias. We present a computationally efficient implementation of this approach that exploits multithreading.
Issue Date: 5-Feb-2013
URI: http://hdl.handle.net/10044/1/31757
Copyright Statement: © The Author(s) 2013
Keywords: stat.CO
Appears in Collections:Faculty of Medicine
Epidemiology, Public Health and Primary Care



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