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- Hitting probabilities of random covering sets in tori and metric spaces. Electronic Journal of Probability 2017. 2017:- .
- Structured Ordinary Least Squares: A Sufficient Dimension Reduction approach for regressions with partitioned predictors and heterogeneous units. Biometrics 2017. 73:529-539 .
- Nonlinear sufficient dimension reduction for functional data. The Annals of Statistics 2017. 45:1059-1095 .
- Variable selection via additive conditional independence. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2016. 78:1037-1055 .
- Almost Periodic Time Scales and Almost Periodic Functions on Time Scales. Journal of Applied Mathematics 2015. 2015:- .
- On regression for samples with alternating predictors and its application to psychrometric charts. Statistica Sinica 2015. 25:1045-1064 .
- On efficient dimension reduction with respect to a statistical functional of interest. The Annals of Statistics 2014. 42:382-412 .
- Hausdorff dimension of affine random covering sets in torus. Annales de l'Institut Henri Poincaré, Probabilités et Statistiques 2014. 50:1371-1384 .
- Finite and Infinite Arithmetic Progressions Related to Beta-Expansion. Abstract and Applied Analysis 2014. 2014:- .
- Statistical inference in massive data sets. Applied Stochastic Models in Business and Industry 2013. 29:399-409 .
- A general theory for nonlinear sufficient dimension reduction: Formulation and estimation. The Annals of Statistics 2013. 41:221-249 .
- Synchronization of Chaotic Delayed Fuzzy Neural Networks under Impulsive and Stochastic Perturbations. Abstract and Applied Analysis 2012. 2012:- .
- Principal support vector machines for linear and nonlinear sufficient dimension reduction. The Annals of Statistics 2011. 39:3182-3210 .
- Sufficient dimension reduction based on an ensemble of minimum average variance estimators. The Annals of Statistics 2011. 39:3392-3416 .
- On dimension folding of matrix- or array-valued statistical objects. The Annals of Statistics 2010. 38:1094-1121 .
- Groupwise dimension reduction. Journal of the American Statistical Association 2010. 105:1188-1201 .
- A not on the invariance law for surrogate dimension reduction. Communications in Statistics: Theory and Methods 2010. 39:2721-2724 .
- Reply to comments on ``Envelope models for parsimonious and efficient multivariate linear regression'' (Pkg: p927-1010). Statistica Sinica 2010. 20:999-1010 .
- Envelope models for parsimonious and efficient multivariate linear regression (Pkg: p927-1010). Statistica Sinica 2010. 20:927-960 .
- Dimension reduction for non-elliptically distributed predictors: Second-order methods. Biometrika 2010. 97:279-294 .
- On principal components and regression: A statistical explanation of a natural phenomenon. Statistica Sinica 2009. 19:1557-1565 .
- Central solution space for dimension reduction. .
- Dimension reduction for nonelliptically distributed predictors. The Annals of Statistics 2009. 37:1272-1298 .
- On a Projective Resampling Method for Dimension Reduction With Multivariate Responses. Journal of the American Statistical Association 2008. 103:1177-1186 .
- An identity for the Fisher information and Mahalanobis distance. Journal of Statistical Planning and Inference 2008. 138:3950-3959 .
- Dimension reduction in regression without matrix inversion. Biometrika 2007. 94:569-584 .
- Comment: Fisher Lecture: Dimension Reduction in Regression. Statistical Science 2007. 22:32-35 .
- On Directional Regression for Dimension Reduction. Journal of the American Statistical Association 2007. 102:997-1008 .
- On surrogate dimension reduction for measurement error regression: An invariance law. The Annals of Statistics 2007. 35:2143-2172 .
- Comment on ``Fisher Lecture: Dimension Reduction in Regression'' (Pkg:1-43). Statistical Science 2007. 22:32-35 .
- Contour regression: A general approach to dimension reduction. The Annals of Statistics 2005. 33:1580-1616 .
- Determining the dimension of iterative Hessian transformation. The Annals of Statistics 2004. 32:2501-2531 .
- Determining the dimension of iterative Hessian transformation. The Annals of Statistics 2004. 32:2501-2531 .
- Dimension reduction for the conditional mean in regressions with categorical predictors. The Annals of Statistics 2003. 31:1636-1668 .
- Sufficient dimensions reduction in regressions with categorical predictors. The Annals of Statistics 2002. 30:475-497 .
- Dimension reduction for conditional mean in regression. The Annals of Statistics 2002. 30:455-474 .
- Sufficient dimensions reduction in regressions with categorical predictors. The Annals of Statistics 2002. 30:475-497 .
- Sensitivity of Rao's score test, the Wald test and the likelihood ratio test to nuisance parameters. Journal of Statistical Planning and Inference 2001. 97:57-66 .
- On quasi likelihood equations with non-parametric weights. Scandinavian Journal of Statistics 2001. 28:577-602 .
- Comment on ``Inference for semiparametric models: Some questions and an answer'' (Pkg: p863-960). Statistica Sinica 2001. 11:936-941 .
- Comment on ``Eliminating multiple root problems in estimation'' (Pkg: p313-341). Statistical Science 2000. 15:336-339 .
- Comment on ``On profile likelihood''. Journal of the American Statistical Association 2000. 95:472-474 .
- Nonparametric estimating equations based on a penalized information criterion. Canadian Journal of Statistics 2000. 28:621-639 .
- Improving generalised estimating equations using quadratic inference functions. Biometrika 2000. 87:823-836 .
- Adaptive generalized estimating equations. .
- An optimal estimating equation based on the first three cumulants. Biometrika 1998. 85:103-114 .
- On second-order optimality of the observed Fisher information. The Annals of Statistics 1997. 25:2172-2199 .
- $M$-estimates of regression when the scale is unknown and the error distribution is possibly asymmetric: A minimax result. The Canadian Journal of Statistics / La Revue Canadienne de Statistique 1996. 24:193-206 .
- M-Estimates of regression when the scale is unknown and the error distribution is possibly asymmetric: A minimax result†. Canadian Journal of Statistics 1996. 24:193-206 .
- Nonparametric tests for bounds on the derivative of a regression function. Annals of the Institute of Statistical Mathematics 1996. 48:315-336 .
- A minimax approach to consistency and efficiency for estimating equations. The Annals of Statistics 1996. 24:1283-1297 .
- Chi-square tests for generalized estimating equations with possibly misspecified weights.. Scandinavian Journal of Statistics 1996. 23:489-509 .
- [Inference Based on Estimating Functions in the Presence of Nuisance Parameters]: Comment. Statistical Science 1995. 10:175-177 .
- Projected partial likelihood and its application to longitudinal data. Biometrika 1995. 82:399-406 .
- Comment on ``Inference''. Statistical Science 1995. 10:175-177 .
- Potential functions and conservative estimating functions. The Annals of Statistics 1994. 22:340-356 .
- A survey on singular solutions of first-order partial differential equations. Kodai Mathematical Journal 1994. 17:644-649 .
- A deviance function for the quasi-likelihood method. Biometrika 1993. 80:741-753 .
- Laplace expansion for posterior densities of nonlinear functions of parameters. Biometrika 1992. 79:393-398 .
- Min-max asymptotic variance of $M$-estimates of location when scale is unknown. Statistics & Probability Letters 1991. 11:139-145 .
- A regression model with random effects for beer chemistry and Canadians' beer preferences (Pkg: p94-125). The Canadian Journal of Statistics / La Revue Canadienne de Statistique 1990. 18:108-121 .
- A regression model with random effects for beer chemistry and Canadians' beer preferences. Canadian Journal of Statistics 1990. 18:108-121 .