John T. Ormerod

21 papers Journal 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Gaussian Variational Approximation for Ordinal Data with Crossed Random Effects.
J. Comput. Graph. Stat.
Manja G. Grønberg, John T. Ormerod, Line Katrine Harder Clemmensen
2023 J jnl
An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression.
J. Comput. Graph. Stat.
Chong You, John T. Ormerod, Xiangyang Li, Cheng Heng Pang, Xiao-Hua Zhou
2023 J jnl
Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression.
J. Mach. Learn. Res.
Jackson Zhou, John T. Ormerod, Clara Grazian
2022 J jnl
spicyR: spatial analysis of
Bioinform.
Nicolas P. Canete, Sourish S. Iyengar, John T. Ormerod, Heeva Baharlou, Andrew N. Harman, Ellis Patrick
2020 J jnl
Variational discriminant analysis with variable selection.
Stat. Comput.
Weichang Yu, John T. Ormerod, Michael Stewart
2020 J jnl
Variational nonparametric discriminant analysis.
Comput. Stat. Data Anal.
Weichang Yu, Lamiae Azizi, John T. Ormerod
2019 J jnl
AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications.
IEEE Trans. Cybern.
Pengyi Yang, John T. Ormerod, Wei Liu, Chendong Ma, Albert Y. Zomaya, Jean Yee Hwa Yang
2019 J jnl
DCARS: differential correlation across ranked samples.
Bioinform.
Shila Ghazanfar, Dario Strbenac, John T. Ormerod, Jean Yee Hwa Yang, Ellis Patrick
2019 J jnl
scDC: single cell differential composition analysis.
BMC Bioinform.
Yue Cao, Yingxin Lin, John T. Ormerod, Pengyi Yang, Jean Yee Hwa Yang, Kitty K. Lo
2016 J jnl
Integrated single cell data analysis reveals cell specific networks and novel coactivation markers.
BMC Syst. Biol.
Shila Ghazanfar, Adam J. Bisogni, John T. Ormerod, David M. Lin, Jean Yee Hwa Yang
2016 J jnl
On generalized degrees of freedom with application in linear mixed models selection.
Stat. Comput.
Chong You, Samuel Müller, John T. Ormerod
2016 J jnl
Wavelet-based gradient boosting.
Stat. Comput.
Eugene Dubossarsky, Jerome H. Friedman, John T. Ormerod, Matthew P. Wand
2015 J jnl
ClassifyR: an R package for performance assessment of classification with applications to transcriptomics.
Bioinform.
Dario Strbenac, Graham J. Mann, John T. Ormerod, Jean Yee Hwa Yang
2014 J jnl
Mean field variational Bayesian inference for support vector machine classification.
Comput. Stat. Data Anal.
Jan Luts, John T. Ormerod
2013 J jnl
Mean field variational Bayesian inference for nonparametric regression with measurement error.
Comput. Stat. Data Anal.
Tung H. Pham, John T. Ormerod, Matthew P. Wand
2012 J jnl
Comment.
Technometrics
John T. Ormerod, Matthew P. Wand
2011 J jnl
Grid based variational approximations.
Comput. Stat. Data Anal.
John T. Ormerod
2011 J jnl
Modelling Inverse Gaussian Data with Censored Response Values: EM versus MCMC.
Adv. Decis. Sci.
Ross Stewart Sparks, Gordon J. Sutton, Peter J. Toscas, John T. Ormerod
2010 J jnl
Parsimonious Classification Via Generalized Linear Mixed Models.
J. Classif.
Göran Kauermann, John T. Ormerod, Matthew P. Wand
2008 J jnl
Penalised spline support vector classifiers: computational issues.
Comput. Stat.
John T. Ormerod, Matthew P. Wand, Inge Koch
2006 J jnl
Knowledge-based semidefinite linear programming classifiers.
Optim. Methods Softw.
Vaithilingam Jeyakumar, John T. Ormerod, Robert S. Womersley