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A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the Metropolis-Hastings algorithm - MaRDI portal

A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the Metropolis-Hastings algorithm (Q2248662)

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A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the Metropolis-Hastings algorithm
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    A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the Metropolis-Hastings algorithm (English)
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    27 June 2014
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    Gibbs sampler
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    LISREL model
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    Metropolis-Hastings algorithm
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    nonlinear functions of latent regressors
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