SMC forgets its initial condition geometrically in the jump chain and as 1/ℓ in continuous genetic distance, justifying independent-locus approximations.
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Markovian population models induce unique genealogy processes whose exact likelihoods are given by model-determined filter equations, generalizing prior phylodynamic methods.
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Rates of forgetting for the sequentially Markov coalescent
SMC forgets its initial condition geometrically in the jump chain and as 1/ℓ in continuous genetic distance, justifying independent-locus approximations.
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Exact phylodynamic likelihood via structured Markov genealogy processes
Markovian population models induce unique genealogy processes whose exact likelihoods are given by model-determined filter equations, generalizing prior phylodynamic methods.