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  • 10 Similar Profiles
Regression Mathematics
Sufficient Dimension Reduction Mathematics
Predictors Mathematics
Dimension Reduction Mathematics
Sliced Inverse Regression Mathematics
Central Subspace Mathematics
Envelope Mathematics
Linear regression Mathematics

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Projects 2004 2015

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

Research Output 1972 2019

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
2 Citations (Scopus)

Fast envelope algorithms

Cook, R. D. & Zhang, X., Jul 1 2018, In : Statistica Sinica. 28, 3, p. 1179-1197 19 p.

Research output: Contribution to journalArticle

Envelope
Coordinate Descent
Screening
Descent Algorithm
Precursor
2 Citations (Scopus)

Matrix variate regressions and envelope models

Ding, S. & Cook, R. D., Mar 1 2018, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 80, 2, p. 387-408 22 p.

Research output: Contribution to journalArticle

Envelope
Regression
Predictors
Model
Conditional Distribution