Browsing by Author Ormerod, John

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Issue DateTitleAuthor(s)Citation
2015ClassifyR: an R package for performance assessment of classification with applications to transcriptomicsMann, Graham; Ormerod, John; Strbenac, Dario; Yang, Jean Yee Hwa; Western Clinical School: Westmead Millennium Institute; Mathematics & Statistics; Mathematics & Statistics; Mathematics & StatisticsClassifyR: an R package for performance assessment of classification with applications to transcriptomics, Bioinformatics, vol.31, 11, 2015,pp 1851-1853
2012Continued fraction enhancement of Bayesian computingOrmerod, John; Wand, M P; Mathematics & StatisticsContinued fraction enhancement of Bayesian computing, Stat, vol.1, 1, 2012,pp 31-41
2016Differential distribution improves gene selection stability and has competitive classification performance for patient survivalMann, Graham; Ormerod, John; Strbenac, Dario; Yang, Jean Yee Hwa; Western Clinical School: Westmead Institute for Medical Res; Mathematics & Statistics; Mathematics & Statistics; Mathematics & StatisticsDifferential distribution improves gene selection stability and has competitive classification performance for patient survival, Nucleic Acids Research, vol.44, 13, 2016,pp 1-13
2010Explaining variational approximationsOrmerod, John; Wand, M P; Mathematics & StatisticsExplaining variational approximations, The American Statistician, vol.64, 2,pp 140-153
2012Gaussian Variational Approximate Inference for Generalized Linear Mixed ModelsOrmerod, John; Wand, M P; Mathematics & StatisticsGaussian Variational Approximate Inference for Generalized Linear Mixed Models, Journal of Computational and Graphical Statistics, vol.21, 1, 2012,pp 2-17
2011Grid based variational approximationsOrmerod, John; Mathematics & StatisticsGrid based variational approximations, Computational Statistics & Data Analysis, vol.55, 1, 2011,pp 45-56
2016Integrated single cell data analysis reveals cell specific networks and novel coactivation markersGhazanfar, Shila; Ormerod, John; Yang, Jean Yee Hwa; Bisogni, Adam; Lin, David M; Mathematics & Statistics; Mathematics & Statistics; Mathematics & StatisticsIntegrated single cell data analysis reveals cell specific networks and novel coactivation markers, BMC Systems Biology, vol.10, Suppl 5, 2016,pp 11-24
2014Mean field variational Bayes for continuous sparse signal shrinkage: Pitfalls and remediesOrmerod, John; Neville, Sarah; Wand, M P; Mathematics & StatisticsMean field variational Bayes for continuous sparse signal shrinkage: Pitfalls and remedies, Electronic Journal of Statistics, vol.8, N/A, 2014,pp 1113-1151
2012Mean Field Variational Bayes for Elaborate DistributionsOrmerod, John; Fruhwirth, Rudolf; Padoan, Simone; Wand, M P; Mathematics & StatisticsMean Field Variational Bayes for Elaborate Distributions, Bayesian Analysis, vol.7, 2, 2012,pp 847-900
2014Mean field variational Bayesian inference for support vector machine classificationOrmerod, John; Luts, J; Mathematics & StatisticsMean field variational Bayesian inference for support vector machine classification, Computational Statistics and Data Analysis, vol.73, N/A, 2014,pp 163-176
2017Modeling and analysis of modular structure in diverse biological networksOrmerod, John; Al-Anzi, Bader; Olsman, Noah; Ormerod, Christopher; Piliouras, Georgios; Sherif, Gerges; Zinn, Kai; Mathematics & StatisticsModeling and analysis of modular structure in diverse biological networks, Journal of Theoretical Biology, vol.422, N/A, 2017,pp 18-30
2011Modelling inverse Gaussian data with censored response values: EM versus MCMCOrmerod, John; Sparks, Ross; Sutton, G; Toscas, P; Mathematics & StatisticsModelling inverse Gaussian data with censored response values: EM versus MCMC, Advances in Decision Sciences, vol.2011, Online, 2011,pp Article ID 571768-8 pages
2017A multi-step classifier addressing cohort heterogeneity improves performance of prognostic biomarkers in three cancer typesMann, 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 & StatisticsA multi-step classifier addressing cohort heterogeneity improves performance of prognostic biomarkers in three cancer types, Oncotarget, vol.8, 2, 2017,pp 2807-2815
2016On generalized degrees of freedom with application in linear mixed models selectionMueller, Samuel; Ormerod, John; You, Chong; Mathematics & Statistics; Mathematics & Statistics; Mathematics & StatisticsOn generalized degrees of freedom with application in linear mixed models selection, Statistics and Computing, vol.26, 1, 2016,pp 199-210
2014On Variational Bayes Estimation and Variational Bayes Information Criteria for Linear Regression ModelsMueller, Samuel; Ormerod, John; You, Chong; Mathematics & Statistics; Mathematics & Statistics; Mathematics & StatisticsOn 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
2011Theory of Gaussian Variational Approximation for a Poisson Mixed ModelOrmerod, John; Hall, Peter; Wand, M P; Mathematics & StatisticsTheory of Gaussian Variational Approximation for a Poisson Mixed Model, Statistica Sinica, vol.21, 1, 2011,pp 369-389
2017Variational Approximations for Generalized Linear Latent Variable ModelsOrmerod, John; Haapaniemi, Vivi; Hui, Francis; Taskinen, Sara; Warton, David; Mathematics & StatisticsVariational Approximations for Generalized Linear Latent Variable Models, Journal of Computational and Graphical Statistics, vol.26, 1, 2017,pp 35-43
2016A Variational Bayes Approach to the Analysis of Occupancy ModelsOrmerod, John; Altwegg, Res; Clark, Allan; Mathematics & StatisticsA Variational Bayes Approach to the Analysis of Occupancy Models, PloS One, vol.11, 2, 2016,pp 1-18
2016A Variational Bayes Approach to the Analysis of Occupancy ModelsOrmerod, John; Altwegg, Res; Clark, Allan; Mathematics & StatisticsA Variational Bayes Approach to the Analysis of Occupancy Models, PloS One, vol.11, 2, 2016,pp 1-18
2017A variational Bayes approach to variable selectionMueller, Samuel; Ormerod, John; You, Chong; Mathematics & Statistics; Mathematics & StatisticsA variational Bayes approach to variable selection, Electronic Journal of Statistics, vol.11, 2017, 2017,pp 3549-3594