Skip to main content
Log in

Review of Bayesian Regression Modelling with INLA by Xiaofeng Wang, Yu Ryan Yue, and Julian J. Faraway

  • Book Review
  • Published:
Journal of Agricultural, Biological and Environmental Statistics Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  • Rue H, Martino S, Chopin N. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations. Journal of the royal statistical society: Series b (statistical methodology). 2009 Apr 1;71(2):319-92.

  • Gelman, A., Stern, H.S., Carlin, J.B., Dunson, D.B., Vehtari, A. and Rubin, D.B., 2013. Bayesian Data Analysis. Chapman and Hall/CRC.

  • Lunn D, Jackson C, Best N, Spiegelhalter D, Thomas A. The BUGS book: A practical introduction to Bayesian analysis. Chapman and Hall/CRC; 2012 Oct 2.

  • Hoffman MD, Gelman A. The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo. Journal of Machine Learning Research. 2014 Apr 1;15(1):1593-623.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kathryn Morrison.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Morrison, K. Review of Bayesian Regression Modelling with INLA by Xiaofeng Wang, Yu Ryan Yue, and Julian J. Faraway. JABES 24, 173–174 (2019). https://doi.org/10.1007/s13253-018-00339-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13253-018-00339-x

Navigation