| On directional regression for dimension reduction B Li, S Wang Journal of the American Statistical Association 102 (479), 997-1008, 2007 | 567 | 2007 |
| Improving generalised estimating equations using quadratic inference functions A Qu, BG Lindsay, B Li Biometrika 87 (4), 823-836, 2000 | 535 | 2000 |
| Dimension reduction for conditional mean in regression RD Cook, B Li The Annals of Statistics 30 (2), 455-474, 2002 | 508 | 2002 |
| Contour regression: a general approach to dimension reduction B Li, H Zha, F Chiaromonte The Annals of Statistics 33 (4), 1580-1616, 2005 | 368 | 2005 |
| Sufficient dimension reduction: Methods and applications with R B Li Chapman and Hall/CRC, 2018 | 256 | 2018 |
| Envelope models for parsimonious and efficient multivariate linear regression RD Cook, B Li, F Chiaromonte Statistica Sinica, 927-960, 2010 | 246 | 2010 |
| Successive direction extraction for estimating the central subspace in a multiple-index regression X Yin, B Li, RD Cook Journal of Multivariate Analysis 99 (8), 1733-1757, 2008 | 234 | 2008 |
| Sufficient dimension reduction in regressions with categorical predictors F Chiaromonte, RD Cook, B Li Annals of Statistics, 475-497, 2002 | 200 | 2002 |
| On dimension folding of matrix-or array-valued statistical objects B Li, MK Kim, N Altman Annals of Statistics 38 (2), 1094-1121, 2010 | 157 | 2010 |
| Dimension reduction for nonelliptically distributed predictors B Li, Y Dong The Annals of Statistics 37 (3), 1272-1298, 2009 | 152 | 2009 |
| Principal support vector machines for linear and nonlinear sufficient dimension reduction B Li, A Artemiou, L Li The Annals of Statistics 39 (6), 3182-3210, 2011 | 135 | 2011 |
| Combining eigenvalues and variation of eigenvectors for order determination W Luo, B Li Biometrika 103 (4), 875-887, 2016 | 129 | 2016 |
| Dimension reduction in regression without matrix inversion RD Cook, B Li, F Chiaromonte Biometrika 94 (3), 569-584, 2007 | 127 | 2007 |
| Statistical inference in massive data sets R Li, DKJ Lin, B Li Applied Stochastic Models in Business and Industry 29 (5), 399-409, 2013 | 118 | 2013 |
| On a projective resampling method for dimension reduction with multivariate responses B Li, S Wen, L Zhu Journal of the American Statistical Association 103 (483), 1177-1186, 2008 | 117 | 2008 |
| A general theory for nonlinear sufficient dimension reduction: Formulation and estimation KY Lee, B Li, F Chiaromonte The Annals of Statistics 41 (1), 221-249, 2013 | 110 | 2013 |
| Sufficient dimension reduction based on an ensemble of minimum average variance estimators X Yin, B Li The Annals of Statistics 39 (6), 3392-3416, 2011 | 103 | 2011 |
| Dimension reduction for non-elliptically distributed predictors: second-order methods Y Dong, B Li Biometrika 97 (2), 279-294, 2010 | 103 | 2010 |
| Potential functions and conservative estimating functions B Li, P McCullagh The Annals of Statistics 22 (1), 340-356, 1994 | 86 | 1994 |
| Dimension reduction for the conditional mean in regressions with categorical predictors B Li, RD Cook, F Chiaromonte The Annals of Statistics 31 (5), 1636-1668, 2003 | 85 | 2003 |
Francesca ChiaromonteProfessor of Statistics, Pennsylvania State University, Sant'Anna School of Advanced StudiesVerified email at psu.edu
