John T. Ormerod
John T. Ormerod
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Explaining variational approximations
JT Ormerod, MP Wand
The American Statistician 64 (2), 140-153, 2010
On semiparametric regression with O'Sullivan penalized splines
MP Wand, JT Ormerod
Australian & New Zealand Journal of Statistics 50 (2), 179-198, 2008
Mean field variational Bayes for elaborate distributions
MP Wand, JT Ormerod, SA Padoan, R Fruhwirth
Bayesian Analysis 6 (4), 847-900, 2011
Gaussian variational approximate inference for generalized linear mixed models
JT Ormerod, MP Wand
Journal of Computational and Graphical Statistics 21 (1), 2-17, 2012
Variational Bayesian inference for parametric and nonparametric regression with missing data
C Faes, JT Ormerod, MP Wand
Journal of the American Statistical Association 106 (495), 959-971, 2011
scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets
Y Lin, S Ghazanfar, KYX Wang, JA Gagnon-Bartsch, KK Lo, X Su, ZG Han, ...
Proceedings of the National Academy of Sciences 116 (20), 9775-9784, 2019
Theory of Gaussian variational approximation for a Poisson mixed model
P Hall, JT Ormerod, MP Wand
Statistica Sinica, 369-389, 2011
Mean field variational Bayes for continuous sparse signal shrinkage: pitfalls and remedies
S Neville, J Ormerod, M Wand
Variational approximations for generalized linear latent variable models
FKC Hui, DI Warton, JT Ormerod, V Haapaniemi, S Taskinen
Journal of Computational and Graphical Statistics 26 (1), 35-43, 2017
Penalized wavelets: embedding wavelets into semiparametric regression
MP Wand, JT Ormerod
Electronic Journal of Statistics 5, 1654-1717, 2011
A variational Bayes approach to variable selection
JT Ormerod, C You, S Müller
Electronic Journal of Statistics 11 (2), 3549-3594, 2017
smatr:(Standardised) major axis estimation and testing routines. R package version 2.1
D Warton, J Ormerod
On variational Bayes estimation and variational information criteria for linear regression models
C You, JT Ormerod, S Mueller
Australian & New Zealand Journal of Statistics 56 (1), 73-87, 2014
Mean field variational Bayesian inference for nonparametric regression with measurement error
TH Pham, JT Ormerod, MP Wand
Computational Statistics & Data Analysis 68, 375-387, 2013
Mean field variational Bayesian inference for support vector machine classification
J Luts, JT Ormerod
Computational Statistics & Data Analysis 73, 163-176, 2014
Integrated single cell data analysis reveals cell specific networks and novel coactivation markers
S Ghazanfar, AJ Bisogni, JT Ormerod, DM Lin, JYH Yang
BMC systems biology 10 (5), 11-24, 2016
AdaSampling for positive-unlabeled and label noise learning with bioinformatics applications
P Yang, JT Ormerod, W Liu, C Ma, AY Zomaya, JYH Yang
IEEE transactions on cybernetics 49 (5), 1932-1943, 2019
On generalized degrees of freedom with application in linear mixed models selection
C You, S Müller, JT Ormerod
Statistics and Computing 26 (1-2), 199-210, 2016
Grid based variational approximations
JT Ormerod
Computational statistics & data analysis 55 (1), 45-56, 2011
Knowledge-based semidefinite linear programming classifiers
V Jeyakumar, J Ormerod, RS Womersley
Optimisation Methods and Software 21 (5), 693-706, 2006
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