**School of Mathematics and Statistics F07University of
Sydney NSW 2006Australia**

- STAT3914 Online Material

Variational approximations, generalised linear mixed models, splines, data mining, semiparametric regresssion and missing data.

- Ormerod, J.T., You, C. and Muller, S.

A variational Bayes approach to model selection.

(preprint) - Luts, J., Wang, S.S.J., Ormerod, J.T. and Wand, M.P.

Semiparametric Regression Analysis via Infer.NET.

(preprint)

- You, C., Muller, S. and Ormerod, J.T.

On generalized degrees of freedom with application in linear mixed models selection.

*Statistics and Computing*. (paper) - Dubossarsky, E., Friedman J.H., Ormerod, J.T. and Wand, M.P.

Wavelet-based gradient boosting.

*Statistics and Computing*. (paper)

- Neville, S.E., Ormerod, J.T. and Wand, M.P.

Mean field variational Bayes for continuous sparse signal shrinkage: pitfalls and remedies.

*Electronic Journal of Statistics*, 1 , 1113-1151. (preprint) - You, C., Ormerod, J.T. and Muller, S.

On variational Bayes estimation and variational Bayes information criteria for linear regression models.

*Australian and New Zealand Journal of Statistics*,**56**, 83-87. (preprint) (paper) - Luts, J. and Ormerod, J.T. (2014).

Mean field variational Bayesian inference for support vector machine classification.

*Computational Statistics and Data Analysis*,**73**, 163-176. (preprint) (paper)

- Pham, T.H., Ormerod, J.T. and Wand, M.P. (2013).

Mean field variational Bayesian inference for nonparametric regression with measurement error.

*Computational Statistics and Data Analysis*,**68**, 375-–387. (preprint) (paper)

- Ormerod, J.T. and Wand, M.P. (2012).

Gaussian variational approximate inference for generalized linear mixed models.

*Journal of Computational and Graphical Statistics*,**21**, 2-17. (preprint) (paper) - Wand, M.P. and Ormerod, J.T. (2012).

Continued fraction enhancement of Bayesian computing.

*STAT*,**1**, 31-41. (paper)

- Wand, M.P., Ormerod, J.T., Padoan, S.A. and Fruhwirth, R. (2011).

Mean field variational Bayes for elaborate distributions.

*Bayesian Analysis*,**6**, Number 4, 847-900. (paper) - Wand, M.P. and Ormerod, J.T. (2011).

Penalized wavelets: embedding wavelets into semiparametric regression.

*Electronic Journal of Statistics*,**5**, 1654-1717. (preprint) -
Sparks, R.S., Sutton, G., Toscas, P. and Ormerod, J.T. (2011).

Modelling inverse Gaussian data with censored response values: EM versus MCMC.

*Advances in Decision Sciences*, Volume 2011, 8 pages, DOI:10.1155/2011/571768. (paper) - Faes, C., Ormerod J.T. and Wand M.P. (2011).

Variational Bayesian inference for parametric and nonparametric regression with missing data.

*Journal of the American Statistical Association*,**106**, 959-971. (preprint)(paper) - Hall, P., Ormerod, J.T. and Wand, M.P. (2011).

Theory of Gaussian variational approximation for a Poisson mixed model.

*Statistica Sinica*,**21**, 369-389. (preprint) - Ormerod, J.T. (2011).

Grid based variational approximations.

*Computational Statistics and Data Analysis*,**55**, 45-56. (preprint)

- Ormerod, J.T. and Wand, M.P. (2010).

Explaining variational approximations.

*The American Statistician*,**64**, 140-153. (paper) - Kauermann, G., Ormerod, J.T. and Wand, M.P. (2010).

Parsimonious classification via generalised linear mixed models.

*Journal of Classification*,**27**, 89-110. (preprint)

- Wand, M.P. and Ormerod, J.T. (2008).

On semiparametric regression with O'Sullivan penalised splines.

*Australian and New Zealand Journal of Statistics*,**50**, 179-198. (paper) (correction notice) (appendix code) - Ormerod, J.T., Wand, M.P. and Koch, I. (2008).

Penalised spline support vector classifiers: computational issues.

*Computational Statistics*,**23**, 623-641. (preprint)

- Jeyakumar, V., Ormerod, J. and Womersley, R.S. (2006).

Knowledge-based Semidefinite linear programming classifiers.

*Optimization Methods and Software*,**21**, 693-706.

- Ormerod, J.T. and Wand, M.P. (2012).

Comment on "Bayesian Computation Using Design of Experiments-based Interpolation Technique" by V. Roshan Joseph.

*Technometrics*,**54**, 233-236.

(preprint) - Ormerod, J.T. (2011).

Book Review: "Mixed effects models for complex data" by Lang Wu, Chapman & Hall/CRC, Boca Raton, 2010.

*Statistics in Medicine*,**30**, 1326-1327. - Ormerod, J.T. and Wand, M.P. (2009).

Discussion of "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations", by H. Rue, S. Martino and N. Chopin.

*Journal of the Royal Statistical Society, Series B*,**71**, 377-378.