EDP Sciences logo
Search
Menu
All issues Volume 36 / No 1 (January-February 2004) Genet. Sel. Evol., 36 1 (2004) 49-64 References
Free Access
Issue
Genet. Sel. Evol.
Volume 36, Number 1, January-February 2004
Page(s) 49 - 64
DOI https://doi.org/10.1051/gse:2003050
References of  Genet. Sel. Evol. 36 (2004) 49-64
  1. Bauwens L., Lubrano M., Richard J.F., Bayesian inference in dynamic econometric models, Oxford University Press, 1999.
  2. Brown P.J., Le N.D., Zidek J.V., Inference for a covariance matrix, in: Freeman P.R., Smith A.F.M. (Eds.), Aspects of uncertainty: a tribute to D.V. Lindley, Wiley, New York, 1994, pp. 77-92.
  3. Cantet R.J.C., Fernando R.L., Gianola D., Misztal I., Genetic grouping for direct and maternal effects with differential assignment of groups, Genet. Sel. Evol. 24 (1992) 211-223.
  4. Dempster A.P., Laird N.M., Rubin D.B., Maximum likelihood from incomplete data via the EM algorithm (with discussion), J. Royal Stat. Soc. Ser. B 39 (1977) 1-38.
  5. Dominici F., Parmigiani G., Clyde M., Conjugate analysis of multivariate normal data with incomplete observations, Can. J. Stat. 28 (2000) 533-550.
  6. Harville D.A., Matrix algebra from a statistician's perspective, Springer-Verlag, NY, 1997.
  7. Henderson C.R., Application of linear models in animal breeding, University of Guelph, Guelph, 1984.
  8. Hobert J.P., Casella G., The effects of improper priors on Gibbs sampling in hierarchical linear models, J. Amer. Statist. Assoc. 91 (1996) 1461-1473.
  9. Kadane J.B., Trader R.L., A Bayesian treatment of multivariate normal data with observations missing at random, Statistical decision theory and related topics IV, 1 (1988) 225-234.
  10. Kass R.E., Carlin B.P., Gelman A., Neal R.M., Markov chain Monte Carlo in practice: a roundtable discussion, Amer. Stat. 52 (1998) 93-100.
  11. Liu J.S., Wong W.H., Kong A., Covariance structure and convergence of the Gibbs sampler with applications to the comparison of estimators and augmentation schemes, Biometrika 81 (1994) 27-40.
  12. Meyer K., Hill W.G., Estimation of genetic and phenotypic covariance functions for longitudinal or repeated records by restricted maximum likelihood, Livest. Prod. Sci. 47 (1997) 185-200 [CrossRef].
  13. Patterson H.D., Thompson R., Recovery of inter-block information when block sizes are unequal, Biometrika 58 (1971) 545-554.
  14. Smith B.J., Bayesian Output Analysis Program (BOA) version 1.0.0 user's manual (2001), Available from http://www.public-health.uiowa.edu/boa/Home.html.
  15. Sorensen D.A., Gibbs sampling in quantitative genetics, Internal report 82, Danish Institute of Animal Science, Department of Breeding and Genetics (1996).
  16. Tanner M.A., Wong W.H., The calculation of posterior distributions by data augmentation, J. Amer. Stat. Assoc. 82 (1987) 528-540.
  17. VanTassell C.P., Van Vleck L.D., Multiple-trait Gibbs sampler for animal models: flexible programs for Bayesian and likelihood-based (co)variance component inference, J. Anim. Sci. 74 (1996) 2586-2597 [PubMed].