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Model selection in finite mixture of regression models: a Bayesian approach with innovative weighted<i>g</i>priors and reversible jump Markov chain Monte Carlo implementation - MaRDI portal

Model selection in finite mixture of regression models: a Bayesian approach with innovative weighted<i>g</i>priors and reversible jump Markov chain Monte Carlo implementation (Q5220880)

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scientific article; zbMATH DE number 7183208
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Model selection in finite mixture of regression models: a Bayesian approach with innovative weighted<i>g</i>priors and reversible jump Markov chain Monte Carlo implementation
scientific article; zbMATH DE number 7183208

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    Model selection in finite mixture of regression models: a Bayesian approach with innovative weighted<i>g</i>priors and reversible jump Markov chain Monte Carlo implementation (English)
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    27 March 2020
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    Bayesian variable selection
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    finite normal mixtures
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    weighted prior
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    reversible jump algorithm
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    Metropolis-Hastings algorithm
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