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R. Dennis Cook

Orcid: 0000-0002-3488-4743

Affiliations:
  • University of Minnesota, School of Statistics, Minneapolis, USA


According to our database1, R. Dennis Cook authored at least 22 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

Online presence:

On csauthors.net:

Bibliography

2023
Partial least squares for simultaneous reduction of response and predictor vectors in regression.
[BibTeX]
[DOI]
R. Dennis Cook
,
Liliana Forzani
,
Lan Liu
J. Multivar. Anal., 2023

Envelope Model for Function-on-Function Linear Regression.
[BibTeX]
[DOI]
Zhihua Su
,
Bing Li
,
R. Dennis Cook
J. Comput. Graph. Stat., 2023

2022
A slice of multivariate dimension reduction.
[BibTeX]
[DOI]
R. Dennis Cook
J. Multivar. Anal., 2022

2020
Multivariate Design of Experiments for Engineering Dimensional Analysis.
[BibTeX]
[DOI]
Daniel J. Eck
,
R. Dennis Cook
,
Christopher J. Nachtsheim
,
Thomas A. Albrecht
Technometrics, 2020

Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments.
[BibTeX]
[DOI]
Andrew Glaws
,
Paul G. Constantine
,
R. Dennis Cook
Stat. Comput., 2020

2018
A convex formulation for high-dimensional sparse sliced inverse regression.
[BibTeX]
[DOI]
Kean Ming Tan
,
Zhaoran Wang
,
Tong Zhang
,
Han Liu
,
R. Dennis Cook
CoRR, 2018

2016
Scaled Predictor Envelopes and Partial Least-Squares Regression.
[BibTeX]
[DOI]
R. Dennis Cook
,
Zhihua Su
Technometrics, 2016

A note on fast envelope estimation.
[BibTeX]
[DOI]
R. Dennis Cook
,
Liliana Forzani
,
Zhihua Su
J. Multivar. Anal., 2016

2015
Simultaneous Envelopes for Multivariate Linear Regression.
[BibTeX]
[DOI]
R. Dennis Cook
,
Xin Zhang
Technometrics, 2015

Tensor sliced inverse regression.
[BibTeX]
[DOI]
Shanshan Ding
,
R. Dennis Cook
J. Multivar. Anal., 2015

2014
Letter to the Editor.
[BibTeX]
[DOI]
Marck C. Albrecht
,
Christopher J. Nachtsheim
,
Thomas A. Albrecht
,
R. Dennis Cook
Technometrics, 2014

2013
Experimental Design for Engineering Dimensional Analysis.
[BibTeX]
[DOI]
Mark C. Albrecht
,
Christopher J. Nachtsheim
,
Thomas A. Albrecht
,
R. Dennis Cook
Technometrics, 2013

Rejoinder.
[BibTeX]
[DOI]
Mark C. Albrecht
,
Thomas A. Albrecht
,
Christopher J. Nachtsheim
,
R. Dennis Cook
Technometrics, 2013

2012
Analysis and efficient 2<sup><i>k</i> - 1</sup> designs for experiments in blocks of size two.
[BibTeX]
[DOI]
P. C. Wang
,
R. Dennis Cook
Qual. Reliab. Eng. Int., 2012

2011
Cook's Distance.
[BibTeX]
[DOI]
R. Dennis Cook
Proceedings of the International Encyclopedia of Statistical Science, 2011

2008
Response dimension reduction for the conditional mean in multivariate regression.
[BibTeX]
[DOI]
Jae Keun Yoo
,
R. Dennis Cook
Comput. Stat. Data Anal., 2008

2007
Graphical Tools for Quadratic Discriminant Analysis.
[BibTeX]
[DOI]
Iain Pardoe
,
Xiangrong Yin
,
R. Dennis Cook
Technometrics, 2007

2004
<i>K</i>-Means Inverse Regression.
[BibTeX]
[DOI]
C. Messan Setodji
,
R. Dennis Cook
Technometrics, 2004

Cluster-based estimation for sufficient dimension reduction.
[BibTeX]
[DOI]
Lexin Li
,
R. Dennis Cook
,
Christopher J. Nachtsheim
Comput. Stat. Data Anal., 2004

2001
A Note on Visualizing Response Transformations in Regression.
[BibTeX]
[DOI]
R. Dennis Cook
,
David J. Olive
Technometrics, 2001

2000
Discussion.
[BibTeX]
[DOI]
R. Dennis Cook
Technometrics, 2000

Detection of Influential Observation in Linear Regression.
[BibTeX]
[DOI]
R. Dennis Cook
Technometrics, 2000


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