| Estimating the structural dimension of regressions via parametric inverse regression E Bura, RD Cook Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2001 | 189 | 2001 |
| Extending sliced inverse regression: The weighted chi-squared test E Bura, RD Cook Journal of the American Statistical Association 96 (455), 996-1003, 2001 | 186 | 2001 |
| Graphical methods for class prediction using dimension reduction techniques on DNA microarray data E Bura, RM Pfeiffer Bioinformatics 19 (10), 1252-1258, 2003 | 92 | 2003 |
| Dimension estimation in sufficient dimension reduction: a unifying approach E Bura, J Yang Journal of Multivariate analysis 102 (1), 130-142, 2011 | 78 | 2011 |
| Moment-based dimension reduction for multivariate response regression X Yin, E Bura Journal of Statistical Planning and Inference 136 (10), 3675-3688, 2006 | 71 | 2006 |
| The binary regression quantile plot: assessing the importance of predictors in binary regression visually E Bura, JL Gastwirth Biometrical Journal: Journal of Mathematical Methods in Biosciences 43 (1), 5-21, 2001 | 57 | 2001 |
| On the distribution of the left singular vectors of a random matrix and its applications E Bura, R Pfeiffer Statistics & Probability Letters 78 (15), 2275-2280, 2008 | 44 | 2008 |
| Sufficient dimension reduction for longitudinally measured predictors RM Pfeiffer, L Forzani, E Bura Statistics in medicine 31 (22), 2414-2427, 2012 | 38 | 2012 |
| Sufficient reductions in regressions with exponential family inverse predictors E Bura, S Duarte, L Forzani Journal of the American Statistical Association 111 (515), 1313-1329, 2016 | 33 | 2016 |
| Sufficient reductions in regressions with elliptically contoured inverse predictors E Bura, L Forzani Journal of the American Statistical Association 110 (509), 420-434, 2015 | 32 | 2015 |
| Rank estimation in reduced-rank regression E Bura, RD Cook Journal of Multivariate Analysis 87 (1), 159-176, 2003 | 31 | 2003 |
| Nonparametric density estimation and optimal bandwidth selection for protein unfolding and unbinding data E Bura, A Zhmurov, V Barsegov The Journal of chemical physics 130 (1), 2009 | 27 | 2009 |
| Two approaches to mutation detection based on functional data RM Pfeiffer, E Bura, A Smith, JL Rutter Statistics in Medicine 21 (22), 3447-3464, 2002 | 27 | 2002 |
| Some important statistical issues courts should consider in their assessment of statistical analyses submitted in class certification motions: implications for Dukes v. Wal-mart JL Gastwirth, E Bura, W Miao Law, Probability and Risk 10 (3), 225-263, 2011 | 21 | 2011 |
| Dimension reduction via parametric inverse regression E Bura Lecture Notes-Monograph Series, 215-228, 1997 | 21 | 1997 |
| Using linear smoothers to assess the structural dimension of regressions E Bura Statistica Sinica, 143-162, 2003 | 20 | 2003 |
| Analyzing forced unfolding of protein tandems by ordered variates, 1: Independent unfolding times E Bura, DK Klimov, V Barsegov Biophysical journal 93 (4), 1100-1115, 2007 | 17 | 2007 |
| Analyzing forced unfolding of protein tandems by ordered variates, 2: dependent unfolding times E Bura, DK Klimov, V Barsegov Biophysical journal 94 (7), 2516-2528, 2008 | 13 | 2008 |
| Dimension reduction via parametric inverse regression, L1 Statistical Procedures and Related Topics, Y E Bura Institute of Mathematical Statistics Lecture notes–monograph series, Hayward …, 1997 | 11 | 1997 |
| Asymptotic theory for maximum likelihood estimates in reduced-rank multivariate generalized linear models E Bura, S Duarte, L Forzani, E Smucler, M Sued Statistics 52 (5), 1005-1024, 2018 | 10 | 2018 |
