1972 …2019
If you made any changes in Pure, your changes will be visible here soon.

Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.

  • 9 Similar Profiles
Regression Mathematics
Sufficient Dimension Reduction Mathematics
Predictors Mathematics
Dimension Reduction Mathematics
Sliced Inverse Regression Mathematics
Central Subspace Mathematics
Envelope Mathematics
Inverse Regression Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2004 2015

Efficient Estimation
Linear regression
Envelope
Model
Tissue engineering
Multivariate Analysis
cooperative research
bioinformatics

Research Output 1972 2019

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
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
Predictors
High-dimensional
Regression
Prediction
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
Covariates
High-dimensional
multipliers
2 Citations (Scopus)

Big data and partial least-squares prediction

Cook, R. D. & Forzani, L., Mar 1 2018, In : Canadian Journal of Statistics. 46, 1, p. 62-78 17 p.

Research output: Contribution to journalArticle

Partial Least Squares
Regression
Prediction
Dimension Reduction
Predictors