John T. Ormerod

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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 YangGroup Leader 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
David WartonProfessor of Ecological Statistics, The University of New South WalesVerified email at maths.unsw.edu.au
Kitty LoChildren's Cancer InstituteVerified email at ccia.org.au
Simone A. PadoanAssociate Professor in the Departement of Decision Sciences at the Bocconi University of MilanVerified email at unibocconi.it
Graham MannDirector, John Curtin School of Medical Research, Australian National UniversityVerified email at anu.edu.au
Johann Gagnon-BartschAssociate Professor of Statistics, University of MichiganVerified email at umich.edu
Rudolf FrühwirthInstitute of High Energy PhysicsVerified email at oeaw.ac.at
Ellis PatrickUniversity of SydneyVerified email at sydney.edu.au
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 HuiResearch School of Finance, Actuarial Studies & Statistics, Australian National UniversityVerified email at anu.edu.au
Jerome FriedmanVerified email at stanford.edu
Tung PhamVinAI ResearchVerified email at hus.edu.vn
WANG ShenVerified email at qut.edu.au
Richard A ScolyerMelanoma Institute Australia, The University of Sydney, Royal Prince Alfred HospitalVerified email at sswahs.nsw.gov.au

John T. Ormerod

University of Sydney

Verified email at sydney.edu.au - Homepage

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Explaining variational approximations JT Ormerod, MP Wand The American Statistician 64 (2), 140-153, 2010	461	2010
On semiparametric regression with O'Sullivan penalized splines MP Wand, JT Ormerod Australian & New Zealand Journal of Statistics 50 (2), 179-198, 2008	269*	2008
Mean field variational Bayes for elaborate distributions MP Wand, JT Ormerod, SA Padoan, R Fruhwirth Bayesian Analysis 6 (4), 847-900, 2011	191	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	118*	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	108	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	100	2011
Smatr:(Standardised) major axis estimation and testing routines D Warton, J Ormerod R package version 2, 1, 2007	94	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	74	2017
A variational Bayes approach to variable selection JT Ormerod, C You, S Müller	71	2017
Theory of Gaussian variational approximation for a Poisson mixed model P Hall, JT Ormerod, MP Wand Statistica Sinica, 369-389, 2011	70	2011
Mean field variational Bayes for continuous sparse signal shrinkage: pitfalls and remedies S Neville, J Ormerod, M Wand	62	2012
Penalized wavelets: embedding wavelets into semiparametric regression MP Wand, JT Ormerod Electronic Journal of Statistics 5, 1654-1717, 2011	62	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	45	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	37	2013
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	36	2019
scDC: single cell differential composition analysis Y Cao, Y Lin, JT Ormerod, P Yang, JYH Yang, KK Lo BMC bioinformatics 20 (19), 1-12, 2019	24	2019
Mean field variational Bayesian inference for support vector machine classification J Luts, JT Ormerod Computational Statistics & Data Analysis 73, 163-176, 2014	24	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, 11-24, 2016	23	2016
Skew-normal variational approximations for Bayesian inference JT Ormerod Unpublished article, 2011	19	2011
On generalized degrees of freedom with application in linear mixed models selection C You, S Müller, JT Ormerod Statistics and Computing 26, 199-210, 2016	17	2016

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