A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the metropolis-hastings algorithm
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DOI: 10.1007/BF02294856
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References listed on IDEAS
- Chib, Siddhartha & Greenberg, Edward, 1996.
"Markov Chain Monte Carlo Simulation Methods in Econometrics,"
Econometric Theory, Cambridge University Press, vol. 12(3), pages 409-431, August.
- Siddhartha Chib & Edward Greenberg, 1994. "Markov Chain Monte Carlo Simulation Methods in Econometrics," Econometrics 9408001, University Library of Munich, Germany, revised 23 Feb 1995.
- repec:cup:etheor:v:12:y:1996:i:3:p:409-31 is not listed on IDEAS
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Keywords
Gibbs Sampler; LISREL model; Metropolis-Hastings algorithm; Non-linear functions of latent regressors;All these keywords.
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