John T. Ormerod

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 10

Top Topics

Variational Bayes

Top Venues

Comput. Stat. Data Anal.

IEEE Trans. Cybern.

Publications

Chong You, John T. Ormerod, Xiangyang Li, Cheng Heng Pang, Xiao-Hua Zhou
An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression. J. Comput. Graph. Stat. 32 (3) (2023)
Nicolas P. Canete, Sourish S. Iyengar, John T. Ormerod, Heeva Baharlou, Andrew N. Harman, Ellis Patrick
cytometry data in R. Bioinform. 38 (11) (2022)
Weichang Yu, John T. Ormerod, Michael Stewart
Variational discriminant analysis with variable selection. Stat. Comput. 30 (4) (2020)
Weichang Yu, Lamiae Azizi, John T. Ormerod
Variational nonparametric discriminant analysis. Comput. Stat. Data Anal. 142 (2020)
Shila Ghazanfar, Dario Strbenac, John T. Ormerod, Jean Yee Hwa Yang, Ellis Patrick
DCARS: differential correlation across ranked samples. Bioinform. 35 (5) (2019)
Yue Cao, Yingxin Lin, John T. Ormerod, Pengyi Yang, Jean Yee Hwa Yang, Kitty K. Lo
scDC: single cell differential composition analysis. BMC Bioinform. (19) (2019)
Pengyi Yang, John T. Ormerod, Wei Liu, Chendong Ma, Albert Y. Zomaya, Jean Yee Hwa Yang
AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications. IEEE Trans. Cybern. 49 (5) (2019)
Shila Ghazanfar, Adam J. Bisogni, John T. Ormerod, David M. Lin, Jean Yee Hwa Yang
Integrated single cell data analysis reveals cell specific networks and novel coactivation markers. BMC Syst. Biol. 10 (S-5) (2016)
Chong You, Samuel Müller, John T. Ormerod
On generalized degrees of freedom with application in linear mixed models selection. Stat. Comput. 26 (1-2) (2016)
Eugene Dubossarsky, Jerome H. Friedman, John T. Ormerod, Matthew P. Wand
Wavelet-based gradient boosting. Stat. Comput. 26 (1-2) (2016)
Dario Strbenac, Graham J. Mann, John T. Ormerod, Jean Yee Hwa Yang
ClassifyR: an R package for performance assessment of classification with applications to transcriptomics. Bioinform. 31 (11) (2015)
Jan Luts, John T. Ormerod
Mean field variational Bayesian inference for support vector machine classification. Comput. Stat. Data Anal. 73 (2014)
Tung H. Pham, John T. Ormerod, Matthew P. Wand
Mean field variational Bayesian inference for nonparametric regression with measurement error. Comput. Stat. Data Anal. 68 (2013)
John T. Ormerod, Matthew P. Wand
Comment. Technometrics 54 (3) (2012)
Ross Stewart Sparks, Gordon J. Sutton, Peter J. Toscas, John T. Ormerod
Modelling Inverse Gaussian Data with Censored Response Values: EM versus MCMC. Adv. Decis. Sci. 2011 (2011)
John T. Ormerod
Grid based variational approximations. Comput. Stat. Data Anal. 55 (1) (2011)
Göran Kauermann, John T. Ormerod, Matthew P. Wand
Parsimonious Classification Via Generalized Linear Mixed Models. J. Classif. 27 (1) (2010)
John T. Ormerod, Matthew P. Wand, Inge Koch
Penalised spline support vector classifiers: computational issues. Comput. Stat. 23 (4) (2008)
Vaithilingam Jeyakumar, John T. Ormerod, Robert S. Womersley
Knowledge-based semidefinite linear programming classifiers. Optim. Methods Softw. 21 (5) (2006)