John T. Ormerod

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Citations	2464	1405
h-index	21	17
i10-index	33	24

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Matt WandDistinguished Professor of Statistics, University of Technology SydneyVerified email at uts.edu.au
Jean Yee Hwa YangUniversity of SydneyVerified email at sydney.edu.au
Samuel MullerHead, School of Mathematical and Physical Sciences, Macquarie UniversityVerified email at mq.edu.au
Pengyi YangUnit Head at CMRI; Charles Perkins Centre, Associate Professor, University of SydneyVerified email at sydney.edu.au
Shila GhazanfarLecturer, ARC DECRA Fellow, The University of SydneyVerified email at sydney.edu.au
Kitty LoChildren's Cancer InstituteVerified email at ccia.org.au
David WartonProfessor of Ecological Statistics, The University of New South WalesVerified email at maths.unsw.edu.au
Simone A. PadoanAssociate Professor in the Departement of Decision Sciences at the Bocconi University of MilanVerified email at unibocconi.it
Graham MannCollege of Health and Medicine, Australian National UniversityVerified email at anu.edu.au
Johann Gagnon-BartschAssociate Professor of Statistics, University of MichiganVerified email at umich.edu
Ellis PatrickUniversity of SydneyVerified email at sydney.edu.au
Rudolf FrühwirthInstitute of High Energy PhysicsVerified email at oeaw.ac.at
Jan LutsData Scientist, EverisVerified email at uts.edu.au
Weichang YuUniversity of MelbourneVerified email at unimelb.edu.au
Sara TaskinenUniversity Lecturer, University of JyväskyläVerified email at jyu.fi
Francis KC HuiThe Australian National UniversityVerified email at anu.edu.au
Tung PhamVinAI ResearchVerified email at hus.edu.vn
Jerome FriedmanVerified email at stanford.edu
Richard A ScolyerMelanoma Institute Australia, The University of Sydney, Royal Prince Alfred HospitalVerified email at sswahs.nsw.gov.au
Goeran KauermannLudwig-Maximilians-University MunichVerified email at lmu.de

John T. Ormerod

University of Sydney

Verified email at sydney.edu.au - Homepage

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Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Explaining variational approximations JT Ormerod, MP Wand The American Statistician 64 (2), 140-153, 2010	517	2010
On semiparametric regression with O'Sullivan penalized splines MP Wand, JT Ormerod Australian & New Zealand Journal of Statistics 50 (2), 179-198, 2008	290*	2008
Mean field variational Bayes for elaborate distributions MP Wand, JT Ormerod, SA Padoan, R Fruhwirth Bayesian Analysis 6 (4), 847-900, 2011	219	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	156*	2019
Gaussian variational approximate inference for generalized linear mixed models JT Ormerod, MP Wand Journal of Computational and Graphical Statistics 21 (1), 2-17, 2012	121	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	104	2011
Smatr:(Standardised) major axis estimation and testing routines D Warton, J Ormerod R package version 2, 1, 2007	102	2007
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	89	2017
A variational Bayes approach to variable selection JT Ormerod, C You, S Müller	82	2017
Theory of Gaussian variational approximation for a Poisson mixed model P Hall, JT Ormerod, MP Wand Statistica Sinica, 369-389, 2011	73	2011
Mean field variational Bayes for continuous sparse signal shrinkage: pitfalls and remedies S Neville, J Ormerod, M Wand	70	2012
Penalized wavelets: embedding wavelets into semiparametric regression MP Wand, JT Ormerod Electronic Journal of Statistics 5, 1654-1717, 2011	61	2011
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	54	2014
scDC: single cell differential composition analysis Y Cao, Y Lin, JT Ormerod, P Yang, JYH Yang, KK Lo BMC bioinformatics 20, 1-12, 2019	51	2019
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	48	2019
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	39	2013
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, 11-24, 2016	29	2016
spicyR: Spatial analysis of in situ cytometry data in R EP Nicolas P Canete, Sourish S Iyengar, John T Ormerod, Heeva Baharlou ... Bioinformatics, 2022	26	2022
Mean field variational Bayesian inference for support vector machine classification J Luts, JT Ormerod Computational Statistics & Data Analysis 73, 163-176, 2014	25	2014
Skew-normal variational approximations for Bayesian inference JT Ormerod Unpublished article, 2011	23	2011

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