Data from: Two-phase importance sampling for inference about transmission trees

Elina Numminen, Claire Chewapreecha, Jukka Sirén, Claudia Turner, Paul Turner, Stephen D. Bentley, Jukka Corander & J. Siren
There has been growing interest in the statistics community to develop methods for inferring transmission pathways of infectious pathogens from molecular sequence data. For many datasets, the computational challenge lies in the huge dimension of the missing data. Here, we introduce an importance sampling scheme in which the transmission trees and phylogenies of pathogens are both sampled from reasonable importance distributions, alleviating the inference. Using this approach, arbitrary models of transmission could be considered, contrary...
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