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John T. Ormerod

Orcid: 0000-0002-4650-7507

Affiliations:
  • University of Sydney, Australia


According to our database1, John T. Ormerod authored at least 19 papers between 2006 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2022
spicyR: spatial analysis of <i>in situ</i> cytometry data in R.
[BibTeX]
[DOI]
Nicolas P. Canete
,
Sourish S. Iyengar
,
John T. Ormerod
,
Heeva Baharlou
,
Andrew N. Harman
,
Ellis Patrick
Bioinform., 2022

2020
Variational discriminant analysis with variable selection.
[BibTeX]
[DOI]
Weichang Yu
,
John T. Ormerod
,
Michael Stewart
Stat. Comput., 2020

Variational nonparametric discriminant analysis.
[BibTeX]
[DOI]
Weichang Yu
,
Lamiae Azizi
,
John T. Ormerod
Comput. Stat. Data Anal., 2020

2019
AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications.
[BibTeX]
[DOI]
Pengyi Yang
,
John T. Ormerod
,
Wei Liu
,
Chendong Ma
,
Albert Y. Zomaya
,
Jean Yee Hwa Yang
IEEE Trans. Cybern., 2019

scDC: single cell differential composition analysis.
[BibTeX]
[DOI]
Yue Cao
,
Yingxin Lin
,
John T. Ormerod
,
Pengyi Yang
,
Jean Yee Hwa Yang
,
Kitty K. Lo
BMC Bioinform., 2019

DCARS: differential correlation across ranked samples.
[BibTeX]
[DOI]
Shila Ghazanfar
,
Dario Strbenac
,
John T. Ormerod
,
Jean Yee Hwa Yang
,
Ellis Patrick
Bioinform., 2019

2018
Diagonal Discriminant Analysis with Feature Selection for High Dimensional Data.
[BibTeX]
[DOI]
Sarah Elizabeth Romanes
,
John Thomas Ormerod
,
Jean Yee Hwa Yang
CoRR, 2018

2016
On generalized degrees of freedom with application in linear mixed models selection.
[BibTeX]
[DOI]
Chong You
,
Samuel Müller
,
John T. Ormerod
Stat. Comput., 2016

Wavelet-based gradient boosting.
[BibTeX]
[DOI]
Eugene Dubossarsky
,
Jerome H. Friedman
,
John T. Ormerod
,
Matthew P. Wand
Stat. Comput., 2016

Integrated single cell data analysis reveals cell specific networks and novel coactivation markers.
[BibTeX]
[DOI]
Shila Ghazanfar
,
Adam J. Bisogni
,
John T. Ormerod
,
David M. Lin
,
Jean Yee Hwa Yang
BMC Syst. Biol., 2016

2015
ClassifyR: an R package for performance assessment of classification with applications to transcriptomics.
[BibTeX]
[DOI]
Dario Strbenac
,
Graham J. Mann
,
John T. Ormerod
,
Jean Yee Hwa Yang
Bioinform., 2015

2014
Mean field variational Bayesian inference for support vector machine classification.
[BibTeX]
[DOI]
Jan Luts
,
John T. Ormerod
Comput. Stat. Data Anal., 2014

2013
Mean field variational Bayesian inference for nonparametric regression with measurement error.
[BibTeX]
[DOI]
Tung H. Pham
,
John T. Ormerod
,
Matthew P. Wand
Comput. Stat. Data Anal., 2013

2012
Comment.
[BibTeX]
[DOI]
John T. Ormerod
,
Matthew P. Wand
Technometrics, 2012

2011
Modelling Inverse Gaussian Data with Censored Response Values: EM versus MCMC.
[BibTeX]
[DOI]
Ross Stewart Sparks
,
Gordon J. Sutton
,
Peter J. Toscas
,
John T. Ormerod
Adv. Decis. Sci., 2011

Grid based variational approximations.
[BibTeX]
[DOI]
John T. Ormerod
Comput. Stat. Data Anal., 2011

2010
Parsimonious Classification Via Generalized Linear Mixed Models.
[BibTeX]
[DOI]
Göran Kauermann
,
John T. Ormerod
,
Matthew P. Wand
J. Classif., 2010

2008
Penalised spline support vector classifiers: computational issues.
[BibTeX]
[DOI]
John T. Ormerod
,
Matthew P. Wand
,
Inge Koch
Comput. Stat., 2008

2006
Knowledge-based semidefinite linear programming classifiers.
[BibTeX]
[DOI]
Vaithilingam Jeyakumar
,
John T. Ormerod
,
Robert S. Womersley
Optim. Methods Softw., 2006


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