Dr John Ormerod

F07 - Carslaw Building
The University of Sydney

Telephone 9351 5883
Fax 9351 4534

Website Personal web page

Research interests

Variational Approximations, Generalised Linear Mixed Models, Splines, Data Mining, Semiparametric Regresssion and Missing Data.

John Ormerod is a member of the Statistics Research Group.

Teaching and supervision

Timetable

Selected grants

2013

  • Scalable Bayesian model selection for massive data sets.; Ormerod J; Australian Research Council (ARC)/Discovery Early Career Researcher Award (DECRA).

2011

  • Fast Approximate Inference Methods for Flexible Regression; Wand M, Ormerod J, Wang Y; Australian Research Council (ARC)/Discovery Projects (DP).

Selected publications

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Journals

  • Luts, J., Ormerod, J. (2014). Mean field variational Bayesian inference for support vector machine classification. Computational Statistics and Data Analysis, 73(May 2014), 163-176. [More Information]
  • You, C., Ormerod, J., Mueller, S. (2014). On Variational Bayes Estimation and Variational Bayes Information Criteria for Linear Regression Models. Australian and New Zealand Journal of Statistics, 56(1), 73-87. [More Information]
  • Pham, T., Ormerod, J., Wand, M. (2013). Mean field variational Bayesian inference for nonparametric regression with measurement error. Computational Statistics and Data Analysis, 68, 375-387. [More Information]
  • Ormerod, J., Wand, M. (2012). Comment. Technometrics, 54(3), 233-236. [More Information]
  • Wand, M., Ormerod, J. (2012). Continued fraction enhancement of Bayesian computing. Stat, 1(1), 31-41. [More Information]
  • Ormerod, J., Wand, M. (2012). Gaussian Variational Approximate Inference for Generalized Linear Mixed Models. Journal of Computational and Graphical Statistics, 21(1), 2-17. [More Information]
  • Wand, M., Ormerod, J., Padoan, S., Fruhwirth, R. (2012). Mean Field Variational Bayes for Elaborate Distributions. Bayesian Analysis, 7(2), 847-900. [More Information]
  • Ormerod, J. (2011). Grid based variational approximations. Computational Statistics and Data Analysis, 55(1), 45-56. [More Information]
  • Sparks, R., Sutton, G., Toscas, P., Ormerod, J. (2011). Modelling Inverse Gaussian Data with Censored Response Values: EM versus MCMC. Advances in Decision Sciences, 2011 (Article ID 571768), 1-8. [More Information]
  • Wand, M., Ormerod, J. (2011). Penalized wavelets: Embedding wavelets into semiparametric regression. Electronic Journal of Statistics, 5(2011), 1654-1717. [More Information]
  • Hall, P., Ormerod, J., Wand, M. (2011). Theory of Gaussian Variational Approximation for a Poisson Mixed Model. Statistica Sinica, 21(1), 369-389.
  • Faes, C., Ormerod, J., Wand, P. (2011). Variational Bayesian Inference for Parametric and Nonparametric Regression With Missing Data. Journal of the American Statistical Association, 106(495), 959-971. [More Information]
  • Ormerod, J., Wand, M. (2010). Explaining variational approximations. The American Statistician, 64(2), 140-153. [More Information]
  • Kauermann, G., Ormerod, J., Wand, M. (2010). Parsimonious Classification Via Generalized Linear Mixed Models. Journal of Classification, 27(1), 89-110. [More Information]
  • Ormerod, J., Wand, M. (2009). Discussion on "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations". Journal of the Royal Statistical Society Series B-Statistical Methodology, 71(2), 377-378.
  • Wand, P., Ormerod, J. (2008). On Semiparametric Regression with O'Sullivan Penalized SPlines. Australian and New Zealand Journal of Statistics, 50(2), 179-198. [More Information]
  • Ormerod, J., Wand, P., Koch, I. (2008). Penalised spline support vector classifiers: computational issues. Computational Statistics, 23, 623-641. [More Information]
  • Jeyakumar, V., Ormerod, J., Womersley, R. (2006). Knowledge-based semidefinite linear programming classifiers. Optimization Methods and Software, 21(5), 693-706. [More Information]

2014

  • Luts, J., Ormerod, J. (2014). Mean field variational Bayesian inference for support vector machine classification. Computational Statistics and Data Analysis, 73(May 2014), 163-176. [More Information]
  • You, C., Ormerod, J., Mueller, S. (2014). On Variational Bayes Estimation and Variational Bayes Information Criteria for Linear Regression Models. Australian and New Zealand Journal of Statistics, 56(1), 73-87. [More Information]

2013

  • Pham, T., Ormerod, J., Wand, M. (2013). Mean field variational Bayesian inference for nonparametric regression with measurement error. Computational Statistics and Data Analysis, 68, 375-387. [More Information]

2012

  • Ormerod, J., Wand, M. (2012). Comment. Technometrics, 54(3), 233-236. [More Information]
  • Wand, M., Ormerod, J. (2012). Continued fraction enhancement of Bayesian computing. Stat, 1(1), 31-41. [More Information]
  • Ormerod, J., Wand, M. (2012). Gaussian Variational Approximate Inference for Generalized Linear Mixed Models. Journal of Computational and Graphical Statistics, 21(1), 2-17. [More Information]
  • Wand, M., Ormerod, J., Padoan, S., Fruhwirth, R. (2012). Mean Field Variational Bayes for Elaborate Distributions. Bayesian Analysis, 7(2), 847-900. [More Information]

2011

  • Ormerod, J. (2011). Grid based variational approximations. Computational Statistics and Data Analysis, 55(1), 45-56. [More Information]
  • Sparks, R., Sutton, G., Toscas, P., Ormerod, J. (2011). Modelling Inverse Gaussian Data with Censored Response Values: EM versus MCMC. Advances in Decision Sciences, 2011 (Article ID 571768), 1-8. [More Information]
  • Wand, M., Ormerod, J. (2011). Penalized wavelets: Embedding wavelets into semiparametric regression. Electronic Journal of Statistics, 5(2011), 1654-1717. [More Information]
  • Hall, P., Ormerod, J., Wand, M. (2011). Theory of Gaussian Variational Approximation for a Poisson Mixed Model. Statistica Sinica, 21(1), 369-389.
  • Faes, C., Ormerod, J., Wand, P. (2011). Variational Bayesian Inference for Parametric and Nonparametric Regression With Missing Data. Journal of the American Statistical Association, 106(495), 959-971. [More Information]

2010

  • Ormerod, J., Wand, M. (2010). Explaining variational approximations. The American Statistician, 64(2), 140-153. [More Information]
  • Kauermann, G., Ormerod, J., Wand, M. (2010). Parsimonious Classification Via Generalized Linear Mixed Models. Journal of Classification, 27(1), 89-110. [More Information]

2009

  • Ormerod, J., Wand, M. (2009). Discussion on "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations". Journal of the Royal Statistical Society Series B-Statistical Methodology, 71(2), 377-378.

2008

  • Wand, P., Ormerod, J. (2008). On Semiparametric Regression with O'Sullivan Penalized SPlines. Australian and New Zealand Journal of Statistics, 50(2), 179-198. [More Information]
  • Ormerod, J., Wand, P., Koch, I. (2008). Penalised spline support vector classifiers: computational issues. Computational Statistics, 23, 623-641. [More Information]

2006

  • Jeyakumar, V., Ormerod, J., Womersley, R. (2006). Knowledge-based semidefinite linear programming classifiers. Optimization Methods and Software, 21(5), 693-706. [More Information]

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