| smatr 3–an R package for estimation and inference about allometric lines DI Warton, RA Duursma, DS Falster, S Taskinen Methods in Ecology and Evolution 3 (2), 257-259, 2012 | 1294 | 2012 |
| So Many Variables: Joint Modeling in Community Ecology DI Warton, FG Blanchet, RB O’Hara, O Ovaskainen, S Taskinen, ... Trends in ecology & evolution 30 (12), 766-779, 2015 | 592 | 2015 |
| The role of acute and chronic stress in asthma attacks in children H Sandberg, S., Paton, J.Y., Ahola, S., McCann, D.C., McGuinness, D ... Lancet 356, 982-988, 2000 | 589 | 2000 |
| Model‐based approaches to unconstrained ordination FKC Hui, S Taskinen, S Pledger, SD Foster, DI Warton Methods in Ecology and Evolution 6 (4), 399-411, 2015 | 182 | 2015 |
| Fall incidence in frail older women after individualized visual feedback-based balance training S Sihvonen, S Sipilä, S Taskinen, P Era Gerontology 50 (6), 411-416, 2004 | 159 | 2004 |
| smatr:(Standardized) Major Axis Estimation and Testing Routines. R package version 3.2. 4 D Warton, R Duursma, D Falster, S Taskinen | 94* | 2011 |
| Blind source separation based on joint diagonalization in R: the packages JADE and BSSasymp J Miettinen, K Nordhausen, S Taskinen Journal of Statistical Software 76 (2), 1-31, 2017 | 90 | 2017 |
| gllvm – Fast analysis of multivariate abundance data with generalized linear latent variable models in R J Niku, FKC Hui, S Taskinen, DI Warton Methods in Ecology and Evolution 10, 2173-2182, 2019 | 85 | 2019 |
| Multivariate nonparametric tests of independence S Taskinen, H Oja, RH Randles Journal of the American Statistical Association 100 (471), 916-925, 2005 | 84 | 2005 |
| Fourth moments and independent component analysis J Miettinen, S Taskinen, K Nordhausen, H Oja Statistical Science 30 (3), 372-390, 2015 | 75 | 2015 |
| 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 | 71 | 2017 |
| Generalized Linear Latent Variable Models for Multivariate Count and Biomass Data in Ecology J Niku, DI Warton, FKC Hui, S Taskinen Journal of Agricultural, Biological and Environmental Statistics 22 (4), 498-522, 2017 | 66 | 2017 |
| Influence functions and efficiencies of the canonical correlation and vector estimates based on scatter and shape matrices S Taskinen, C Croux, A Kankainen, E Ollila, H Oja Journal of Multivariate Analysis 97 (2), 359-384, 2006 | 61 | 2006 |
| Sign test of independence between two random vectors S Taskinen, A Kankainen, H Oja Statistics & probability letters 62 (1), 9-21, 2003 | 55 | 2003 |
| Tests of multinormality based on location vectors and scatter matrices A Kankainen, S Taskinen, H Oja Statistical Methods and Applications 16 (3), 357-379, 2007 | 54 | 2007 |
| Efficient estimation of generalized linear latent variable models J Niku, W Brooks, R Herliansyah, FKC Hui, S Taskinen, DI Warton PloS one 14 (5), e0216129, 2019 | 52 | 2019 |
| Separation of uncorrelated stationary time series using autocovariance matrices J Miettinen, K Illner, K Nordhausen, H Oja, S Taskinen, FJ Theis Journal of Time Series Analysis 37 (3), 337--354, 2016 | 50 | 2016 |
| On Mardia’s tests of multinormality A Kankainen, S Taskinen, H Oja Theory and Applications of Recent Robust Methods, 153-164, 2004 | 50 | 2004 |
| Symmetrised M-estimators of multivariate scatter S Sirkiä, S Taskinen, H Oja Journal of Multivariate Analysis 98 (8), 1611-1629, 2007 | 48 | 2007 |
| Deflation-based FastICA with adaptive choices of nonlinearities J Miettinen, K Nordhausen, H Oja, S Taskinen IEEE Transactions on Signal Processing 62 (21), 5716-5724, 2014 | 41 | 2014 |
David WartonProfessor of Ecological Statistics, The University of New South WalesVerified email at maths.unsw.edu.au
