Bayesian Analysis

Rejoinder

William J. Browne and David Draper

Full-text: Open access

Article information

Source
Bayesian Anal. Volume 1, Number 3 (2006), 547-550.

Dates
First available in Project Euclid: 22 June 2012

Permanent link to this document
https://projecteuclid.org/euclid.ba/1340371051

Digital Object Identifier
doi:10.1214/06-BA117REJ

Mathematical Reviews number (MathSciNet)
MR2221287

Zentralblatt MATH identifier
1331.62126

Citation

Browne, William J.; Draper, David. Rejoinder. Bayesian Anal. 1 (2006), no. 3, 547--550. doi:10.1214/06-BA117REJ. https://projecteuclid.org/euclid.ba/1340371051


Export citation

References

  • Browne, W. J. 1998. Applying MCMC Methods to Multilevel Models. Ph.D. dissertation: University of Bath, U.K.
  • –-. 2004. An illustration of the use of reparameterisation methods for improving MCMC efficiency in crossed random effect models. Multilevel Modelling Newsletter 16: 13–25.
  • Draper, D. 2006. Coherence and calibration: comments on subjectivity and “objectivity" in Bayesian analysis. Discussion of “The case for objective Bayesian analysis" by J. Berger and “Subjective Bayesian analysis: principles and practice" by M. Goldstein. Bayesian Analysis (this issue).
  • Lambert, P. C., A. J. Sutton, P. R. Burton, K. R. Abrams, and D. R. Jones. 2005. How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS. Statistics in Medicine 24: 2401–2428.
  • Rasbash, J., F. Steele, W. Browne, and B. Prosser. 2005. A User's Guide to MLwiN Version 2.0. University of Bristol, U.K. (www.mlwin.com).

See also

  • Related item: William J. Brown, David Draper. A comparison of Bayesian and likelihood-based methods for fitting multilevel models. Bayesian Anal., Vol. 1, Iss. 3 (2006), 473-514.