Projects per year
Fingerprint
Dive into the research topics where Statistics (Twin Cities) is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Projects
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Liu: Statistical Methods for Large Microbiome Studies of Cardiovascular Disease Risk Factors
Fred Hutchinson Cancer Research Center
3/15/21 → 2/28/22
Project: Research project
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Collaborative Research: CPS: Medium: An Al-enabled Cyber-Physical-Biological System for Cardiac Organoid Maturation
9/15/20 → 8/31/21
Project: Research project
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Zou:Novel Inference Procedures for Non-Standard High-dimensional Regression Models
7/1/20 → 6/30/23
Project: Research project
Research output
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A Bayesian latent spatial model for mapping the cortical signature of progression to Alzheimer's disease
for the Alzheimer's Disease Neuroimaging Initiative, Mar 2021, In: Canadian Journal of Statistics. 49, 1, p. 46-62 17 p.Research output: Contribution to journal › Article › peer-review
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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.Research output: Contribution to journal › Article › peer-review
Open Access -
Assessment of Regression Models With Discrete Outcomes Using Quasi-Empirical Residual Distribution Functions
Yang, L., May 12 2021, (E-pub ahead of print) In: Journal of Computational and Graphical Statistics.Research output: Contribution to journal › Article › peer-review
Datasets
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Supporting Data Analysis for "An Integrated Analysis of Phenotypic Selection on Insect Body Size and Development Time"
Eck, D. J., Geyer, C. J., Kingsolver, J. G. & Shaw, R. G., Data Repository for the University of Minnesota, 2011
DOI: 10.13020/D6F59K, http://dx.doi.org/10.13020/D6F59K
Dataset
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Supporting Data Analysis for "An Application of Envelope Methodology and Aster Models"
Cook, R. D., Eck, D. J. & Geyer, C. J., Data Repository for the University of Minnesota, 2016
http://hdl.handle.net/11299/178384
Dataset
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Supporting Data Analysis for "Combining Envelope Methodology and Aster Models for Variance Reduction in Life History Analyses"
Cook, R. D., Eck, D. J. & Geyer, C. J., Data Repository for the University of Minnesota, 2016
DOI: 10.13020/D66K51, http://dx.doi.org/10.13020/D66K51
Dataset
Press / Media
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'Let’s talk action': U students, faculty speak out about racism in STEM
6/27/20
1 item of Media coverage
Press/Media: Expert Comment