Projects per year
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Network
Profiles
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Estimation and inference in directed acyclic graphical models for biological networks
Shen, X. T., Li, L., Pan, W. & Yang, T.
NIH NAT'L INSTITUTE ON AGING (NIA)
4/1/22 → 1/31/23
Project: Research project
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Causal and integrative deep learning for Alzheimer's disease genetics
NIH NAT'L INSTITUTE ON AGING (NIA)
9/15/21 → 8/31/26
Project: Research project
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Combining forecasts for universally optimal performance
Qian, W., Rolling, C. A., Cheng, G. & Yang, Y., Jan 1 2022, In: International Journal of Forecasting. 38, 1, p. 193-208 16 p.Research output: Contribution to journal › Article › peer-review
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Convergence rates of two-component MCMC samplers
Qin, Q. & Jones, G. L., May 2022, In: Bernoulli. 28, 2, p. 859-885 27 p.Research output: Contribution to journal › Article › peer-review
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Coordinatewise Gaussianization: Theories and Applications
Mai, Q., Di, H. & Zou, H., 2022, (Accepted/In press) In: Journal of the American Statistical Association.Research output: Contribution to journal › Article › peer-review
Datasets
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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
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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