1972 …2022
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  • 11 Similar Profiles
Regression Mathematics
Sufficient Dimension Reduction Mathematics
Predictors Mathematics
Dimension Reduction Mathematics
Sliced Inverse Regression Mathematics
Envelope Mathematics
Central Subspace Mathematics
Inverse Regression Mathematics

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Projects 2004 2022

Functional magnetic resonance imaging
Efficient Estimation
Linear regression
Tissue engineering
Multivariate Analysis

Research Output 1972 2020

Combining envelope methodology and aster models for variance reduction in life history analyses

Eck, D. J., Geyer, C. J. & Cook, R. D., Jan 1 2019, (Accepted/In press) In : Journal of Statistical Planning and Inference. 205, p. 283-292 10 p.

Research output: Contribution to journalArticle

Variance Reduction
Covariance matrix

Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments

Glaws, A., Constantine, P. G. & Cook, R. D., Jan 1 2019, In : Statistics and Computing.

Research output: Contribution to journalArticle

Sliced Average Variance Estimation
Inverse Regression
Sufficient Dimension Reduction
Sliced Inverse Regression
Computer Experiments

Multivariate Design of Experiments for Engineering Dimensional Analysis

Eck, D. J., Cook, R. D., Nachtsheim, C. J. & Albrecht, T. A., Jan 1 2019, In : Technometrics.

Research output: Contribution to journalArticle

Dimensional Analysis
Design of Experiments
Design of experiments
1 Citation (Scopus)

Partial least squares prediction in high-dimensional regression

Cook, R. D. & Forzani, L., Apr 1 2019, In : Annals of Statistics. 47, 2, p. 884-908 25 p.

Research output: Contribution to journalArticle

Partial Least Squares
1 Citation (Scopus)

A convex formulation for high-dimensional sparse sliced inverse regression

Tan, K. M., Wang, Z., Zhang, T., Liu, H. & Cook, R. D., Dec 1 2018, In : Biometrika. 105, 4, p. 769-782 14 p.

Research output: Contribution to journalArticle

Sliced Inverse Regression
Convex optimization