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A Bayesian Approach for Zero-Inflated Count Regression Models by Using the Reversible Jump Markov Chain Monte Carlo Method and an Application - MaRDI portal

A Bayesian Approach for Zero-Inflated Count Regression Models by Using the Reversible Jump Markov Chain Monte Carlo Method and an Application (Q3585304)

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A Bayesian Approach for Zero-Inflated Count Regression Models by Using the Reversible Jump Markov Chain Monte Carlo Method and an Application
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    A Bayesian Approach for Zero-Inflated Count Regression Models by Using the Reversible Jump Markov Chain Monte Carlo Method and an Application (English)
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    19 August 2010
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    Bayesian posterior estimates
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    Gibbs sampling
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    hierarchical modeling
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    log-gamma distribution
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    Metropolis-Hastings algorithm
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    potential scale reduction factor
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    zero-inflation
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    zoological data
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