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

Inference
Functional magnetic resonance imaging
Efficient Estimation
Linear regression
Envelope
Model
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
Fitness
Envelope
Methodology
Covariance matrix

Envelope methods

Cook, R. D., Jan 1 2019, (Accepted/In press) In : Wiley Interdisciplinary Reviews: Computational Statistics. e1484.

Research output: Contribution to journalArticle

Envelope
Predictors
Multivariate Statistics
Graphical Methods
Dimension Reduction

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
Engineering
Experiments
2 Citations (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
Predictors
High-dimensional
Regression
Prediction