Likelihood analysis of population genetic data under coalescent models: computational and inferential aspects
نویسندگان
چکیده
2 Lihelihood inference using importance sampling algorithms 3 2.1 Inferring the likelihood for a parameter point by importance sampling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.1.1 Sequential importance sampling formulation . . . . . . 3 2.1.2 Optimal p and w . . . . . . . . . . . . . . . . . . . . . . . 5 2.1.3 Formulation of efficient p and w . . . . . . . . . . . . . . 5 2.1.4 The PAC-likelihood heuristics . . . . . . . . . . . . . . . 6 2.2 Inferring the likelihood surface by smoothing . . . . . . . . . . 7
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