Bayesian hierarchically weighted finite mixture models for samples of distributions.
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Learning phenotype densities conditional on many interacting predictors.Trends in mild, moderate, and severe stunting and underweight, and progress towards MDG 1 in 141 developing countries: a systematic analysis of population representative data.Latent Stick-Breaking Processes.Nonparametric Bayesian models through probit stick-breaking processes.On species sampling sequences induced by residual allocation models.
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Bayesian hierarchically weighted finite mixture models for samples of distributions.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 16 August 2008
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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Bayesian hierarchically weighted finite mixture models for samples of distributions.
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Bayesian hierarchically weighted finite mixture models for samples of distributions.
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Bayesian hierarchically weighted finite mixture models for samples of distributions.
@en
Bayesian hierarchically weighted finite mixture models for samples of distributions.
@nl
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Bayesian hierarchically weighted finite mixture models for samples of distributions.
@en
Bayesian hierarchically weighted finite mixture models for samples of distributions.
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P2860
P356
P1433
P1476
Bayesian hierarchically weighted finite mixture models for samples of distributions
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P2093
Abel Rodriguez
David B Dunson
P2860
P304
P356
10.1093/BIOSTATISTICS/KXN024
P50
P577
2008-08-16T00:00:00Z