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Marginal likelihood and Bayesian approaches to the analysis of heterogeneous residual variances in mixed linear Gaussian models

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  • Foulley, J. L.
  • San Cristobal, M.
  • Gianola, D.
  • Im, S.

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  • Foulley, J. L. & San Cristobal, M. & Gianola, D. & Im, S., 1992. "Marginal likelihood and Bayesian approaches to the analysis of heterogeneous residual variances in mixed linear Gaussian models," Computational Statistics & Data Analysis, Elsevier, vol. 13(3), pages 291-305, April.
    • Handle: RePEc:eee:csdana:v:13:y:1992:i:3:p:291-305
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    Cited by:

    1. Marot, Guillemette & Foulley, Jean-Louis & Jaffrzic, Florence, 2009. "A structural mixed model to shrink covariance matrices for time-course differential gene expression studies," Computational Statistics & Data Analysis, Elsevier, vol. 53(5), pages 1630-1638, March.
    2. Clemens Elster & Gerd Wübbeler, 2017. "Bayesian inference using a noninformative prior for linear Gaussian random coefficient regression with inhomogeneous within-class variances," Computational Statistics, Springer, vol. 32(1), pages 51-69, March.

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