Markov chain sampling schemes generate dependent observations {Θ i, 0 ≤ i ≤ n} from a full joint posterior distribution π(θ∣data). Frequently, only certain marginals of this full posterior density are ...
Clustering problems (including the clustering of individuals into outcrossing populations, hybrid generations, full-sib families and selfing lines) have recently received much attention in population ...
We consider the asymptotic behaviour of the marginal maximum likelihood empirical Bayes posterior distribution in general setting. First, we characterize the set where the maximum marginal likelihood ...
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