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Journal of Applied Statistics Volume 39, 2012 - Issue 3
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Original Articles

A non-iterative sampling Bayesian method for linear mixed models with normal independent distributions

Victor H. Lachos Department of Statistics, IMECC, Campinas State University, Caixa Postal 6065, CEP 13083-859, Campinas, São Paulo, BrazilCorrespondence[email protected]
,
Celso R.B. Cabral Department of Statistics, Federal University of Amazonas, Avenida Rodrigo Otávio, 6200, CEP 69080-005, Manaus, Amazonas, Brazil
&
Carlos A. Abanto-Valle Department of Statistics, Federal University of Rio de Janeiro, Caixa Postal 68530, CEP: 21945-970, RJ, Brazil
Pages 531-549 | Received 05 May 2010, Accepted 01 Jul 2011, Published online: 23 Aug 2011

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Read on this site (2)

Haijing Huan & Fengkai Yang. (2016) A non-iterative Bayesian sampling algorithm for censored Student-t linear regression models. Journal of Statistical Computation and Simulation 86:16, pages 3337-3355.
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Wan-Lun Wang & Tsung-I Lin. (2015) Bayesian analysis of multivariate t linear mixed models with missing responses at random. Journal of Statistical Computation and Simulation 85:17, pages 3594-3612.
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Articles from other publishers (3)

Yang Yang & Lichun Wang. (2023) A non-iteration Bayesian sampling algorithm for robust seemingly unrelated regression models$$^*$$. Computational Statistics 39:3, pages 1281-1300.
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Tsung-I Lin & Wan-Lun Wang. (2024) On moments of truncated multivariate normal/independent distributions. Journal of Multivariate Analysis 199, pages 105248.
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Fengkai Yang & Haijing Yuan. (2016) A Non-iterative Bayesian Sampling Algorithm for Linear Regression Models with Scale Mixtures of Normal Distributions. Computational Economics 49:4, pages 579-597.
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