Issue Date | Title | Author(s) | Citation |

2015 | ClassifyR: an R package for performance assessment of classification with applications to transcriptomics | *Mann, Graham; Ormerod, John; Strbenac, Dario; Yang, Jean Yee Hwa; Western Clinical School: Westmead Millennium Institute; Mathematics & Statistics; Mathematics & Statistics; Mathematics & Statistics* | *ClassifyR: an R package for performance assessment of classification with applications to transcriptomics, Bioinformatics, vol.31, 11, 2015,pp 1851-1853* |

2012 | Continued fraction enhancement of Bayesian computing | *Ormerod, John; Wand, M P; Mathematics & Statistics* | *Continued fraction enhancement of Bayesian computing, Stat, vol.1, 1, 2012,pp 31-41* |

2016 | Differential distribution improves gene selection stability and has competitive classification performance for patient survival | *Mann, Graham; Ormerod, John; Strbenac, Dario; Yang, Jean Yee Hwa; Western Clinical School: Westmead Institute for Medical Res; Mathematics & Statistics; Mathematics & Statistics; Mathematics & Statistics* | *Differential distribution improves gene selection stability and has competitive classification performance for patient survival, Nucleic Acids Research, vol.44, 13, 2016,pp 1-13* |

2010 | Explaining variational approximations | *Ormerod, John; Wand, M P; Mathematics & Statistics* | *Explaining variational approximations, The American Statistician, vol.64, 2,pp 140-153* |

2012 | Gaussian Variational Approximate Inference
for Generalized Linear Mixed Models | *Ormerod, John; Wand, M P; Mathematics & Statistics* | *Gaussian Variational Approximate Inference for Generalized Linear Mixed Models, Journal of Computational and Graphical Statistics, vol.21, 1, 2012,pp 2-17* |

2011 | Grid based variational approximations | *Ormerod, John; Mathematics & Statistics* | *Grid based variational approximations, Computational Statistics & Data Analysis, vol.55, 1, 2011,pp 45-56* |

2016 | Integrated single cell data analysis reveals cell specific networks and novel coactivation markers | *Ghazanfar, Shila; Ormerod, John; Yang, Jean Yee Hwa; Bisogni, Adam; Lin, David M; Mathematics & Statistics; Mathematics & Statistics; Mathematics & Statistics* | *Integrated single cell data analysis reveals cell specific networks and novel coactivation markers, BMC Systems Biology, vol.10, Suppl 5, 2016,pp 11-24* |

2014 | Mean field variational Bayes for continuous sparse signal shrinkage: Pitfalls and remedies | *Ormerod, John; Neville, Sarah; Wand, M P; Mathematics & Statistics* | *Mean field variational Bayes for continuous sparse signal shrinkage: Pitfalls and remedies, Electronic Journal of Statistics, vol.8, N/A, 2014,pp 1113-1151* |

2012 | Mean Field Variational Bayes for Elaborate
Distributions | *Ormerod, John; Fruhwirth, Rudolf; Padoan, Simone; Wand, M P; Mathematics & Statistics* | *Mean Field Variational Bayes for Elaborate Distributions, Bayesian Analysis, vol.7, 2, 2012,pp 847-900* |

2014 | Mean field variational Bayesian inference for support vector machine classification | *Ormerod, John; Luts, J; Mathematics & Statistics* | *Mean field variational Bayesian inference for support vector machine classification, Computational Statistics and Data Analysis, vol.73, N/A, 2014,pp 163-176* |

2017 | Modeling and analysis of modular structure in diverse biological networks | *Ormerod, John; Al-Anzi, Bader; Olsman, Noah; Ormerod, Christopher; Piliouras, Georgios; Sherif, Gerges; Zinn, Kai; Mathematics & Statistics* | *Modeling and analysis of modular structure in diverse biological networks, Journal of Theoretical Biology, vol.422, N/A, 2017,pp 18-30* |

2011 | Modelling inverse Gaussian data with censored response values: EM versus MCMC | *Ormerod, John; Sparks, Ross; Sutton, G; Toscas, P; Mathematics & Statistics* | *Modelling inverse Gaussian data with censored response values: EM versus MCMC, Advances in Decision Sciences, vol.2011, Online, 2011,pp Article ID 571768-8 pages* |

2017 | A multi-step classifier addressing cohort heterogeneity improves performance of prognostic biomarkers in three cancer types | *Mann, Graham; Mueller, Samuel; Ormerod, John; Patrick, Ellis; Schramm, Sarah-Jane; Scolyer, Richard; Yang, Jean Yee Hwa; Western Clinical School: Westmead Institute for Medical Res; Mathematics & Statistics; Mathematics & Statistics; Mathematics & Statistics; Western Clinical School: Medicine (Westmead); Central Clinical School: Pathology; Mathematics & Statistics* | *A multi-step classifier addressing cohort heterogeneity improves performance of prognostic biomarkers in three cancer types, Oncotarget, vol.8, 2, 2017,pp 2807-2815* |

2016 | On generalized degrees of freedom with application
in linear mixed models selection | *Mueller, Samuel; Ormerod, John; You, Chong; Mathematics & Statistics; Mathematics & Statistics; Mathematics & Statistics* | *On generalized degrees of freedom with application
in linear mixed models selection, Statistics and Computing, vol.26, 1, 2016,pp 199-210* |

2014 | On Variational Bayes Estimation and Variational Bayes Information Criteria for Linear Regression Models | *Mueller, Samuel; Ormerod, John; You, Chong; Mathematics & Statistics; Mathematics & Statistics; Mathematics & Statistics* | *On Variational Bayes Estimation and Variational Bayes Information Criteria for Linear Regression Models, Australian and New Zealand Journal of Statistics, vol.56, 1, 2014,pp 73-87* |

2011 | Theory of Gaussian Variational Approximation for a Poisson Mixed Model | *Ormerod, John; Hall, Peter; Wand, M P; Mathematics & Statistics* | *Theory of Gaussian Variational Approximation for a Poisson Mixed Model, Statistica Sinica, vol.21, 1, 2011,pp 369-389* |

2017 | Variational Approximations for Generalized Linear Latent Variable Models | *Ormerod, John; Haapaniemi, Vivi; Hui, Francis; Taskinen, Sara; Warton, David; Mathematics & Statistics* | *Variational Approximations for Generalized Linear Latent Variable Models, Journal of Computational and Graphical Statistics, vol.26, 1, 2017,pp 35-43* |

2016 | A Variational Bayes Approach to the Analysis of Occupancy Models | *Ormerod, John; Altwegg, Res; Clark, Allan; Mathematics & Statistics* | *A Variational Bayes Approach to the Analysis of Occupancy Models, PloS One, vol.11, 2, 2016,pp 1-18* |

2016 | A Variational Bayes Approach to the Analysis of Occupancy Models | *Ormerod, John; Altwegg, Res; Clark, Allan; Mathematics & Statistics* | *A Variational Bayes Approach to the Analysis of Occupancy Models, PloS One, vol.11, 2, 2016,pp 1-18* |

2017 | A variational Bayes approach to variable selection | *Mueller, Samuel; Ormerod, John; You, Chong; Mathematics & Statistics; Mathematics & Statistics* | *A variational Bayes approach to variable selection, Electronic Journal of Statistics, vol.11, 2017, 2017,pp 3549-3594* |