Partial least squares for simultaneous reduction of response and predictor vectors in regression.
J. Multivar. Anal., 2023
Envelope Model for Function-on-Function Linear Regression.
J. Comput. Graph. Stat., 2023
A slice of multivariate dimension reduction.
J. Multivar. Anal., 2022
Multivariate Design of Experiments for Engineering Dimensional Analysis.
Technometrics, 2020
Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments.
Stat. Comput., 2020
A convex formulation for high-dimensional sparse sliced inverse regression.
CoRR, 2018
Scaled Predictor Envelopes and Partial Least-Squares Regression.
Technometrics, 2016
A note on fast envelope estimation.
J. Multivar. Anal., 2016
Simultaneous Envelopes for Multivariate Linear Regression.
Technometrics, 2015
Tensor sliced inverse regression.
J. Multivar. Anal., 2015
Experimental Design for Engineering Dimensional Analysis.
Technometrics, 2013
Analysis and efficient 2<sup><i>k</i> - 1</sup> designs for experiments in blocks of size two.
Qual. Reliab. Eng. Int., 2012
Proceedings of the International Encyclopedia of Statistical Science, 2011
Response dimension reduction for the conditional mean in multivariate regression.
Comput. Stat. Data Anal., 2008
Graphical Tools for Quadratic Discriminant Analysis.
Technometrics, 2007
<i>K</i>-Means Inverse Regression.
Technometrics, 2004
Cluster-based estimation for sufficient dimension reduction.
Comput. Stat. Data Anal., 2004
A Note on Visualizing Response Transformations in Regression.
Technometrics, 2001
Detection of Influential Observation in Linear Regression.
Technometrics, 2000