Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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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.
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Collaborations and top research areas from the last five years
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Projects
- 2 Finished
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New methods for multivariate analysis in high dimensions
Rothman, A. J. (PI)
THE NATIONAL SCIENCE FOUNDATION
7/1/15 → 6/30/21
Project: Research project
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Sufficient Dimension Reduction of High-Dimensional Data
Rothman, A. J. (PI) & Cook, R. D. (CoI)
THE NATIONAL SCIENCE FOUNDATION
7/1/11 → 6/30/15
Project: Research project
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Sparse multivariate linear regression with strongly associated response variables
Ham, D., Price, B. S. & Rothman, A. J., Jul 2026, In: Journal of Multivariate Analysis. 214, 105627.Research output: Contribution to journal › Article › peer-review
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Fitted value shrinkage
Ham, D. & Rothman, A. J., 2024, In: Electronic Journal of Statistics. 18, 2, p. 4499-4525 27 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Scopus citations -
A Likelihood-Based Approach for Multivariate Categorical Response Regression in High Dimensions
Molstad, A. J. & Rothman, A. J., 2023, In: Journal of the American Statistical Association. 118, 542, p. 1402-1414 13 p.Research output: Contribution to journal › Article › peer-review
Open Access6 Link opens in a new tab Scopus citations -
An Explicit Mean-Covariance Parameterization for Multivariate Response Linear Regression
Molstad, A. J., Weng, G., Doss, C. R. & Rothman, A. J., 2021, (Accepted/In press) In: Journal of Computational and Graphical Statistics. 30, 3, p. 612-621 10 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Link opens in a new tab Scopus citations -
A Penalized Likelihood Method for Classification With Matrix-Valued Predictors
Molstad, A. J. & Rothman, A. J., Jan 2 2019, In: Journal of Computational and Graphical Statistics. 28, 1, p. 11-22 12 p.Research output: Contribution to journal › Article › peer-review
12 Link opens in a new tab Scopus citations