Projects per year
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Dive into the research topics where School of Arts and Sciences, Statistics is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Collaborative Research: Performance Guaranteed Statistical Learning with Multiple Classes of Models (guided by PCS)
Xie, M. (PI)
8/15/25 → 7/31/28
Project: Research project
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Collaborative Research: Performance Guaranteed Statistical Learning with Multiple Classes of Models (guided by PCS)
Xie, M. (PI)
8/15/25 → 7/31/28
Project: Research project
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Nonparametric estimation in causal inference: optimality in traditional models and newer ones
Bonvini, M. (PI)
8/1/24 → 7/31/27
Project: Research project
Research output
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An efficient LASSO framework for admixture-aware polygenic scores
Ockerman, F., Chen, B. D., Sun, Q., Kharitonova, E. V., Chen, C., Zhou, L. Y., Loos, R. J. F., Kooperberg, C., Peters, U., Haessler, J., Reiner, A. P., Jung, S. Y., Manson, J. A. E., Nassir, R., North, K. E., Buyske, S., Haiman, C. A., Conti, D. V., Wilkens, L. R. & Lange, E. M. & 5 others, , Jul 9 2026, In: Human Genetics and Genomics Advances. 7, 3, 100628.Research output: Contribution to journal › Article › peer-review
Open Access -
A PHASE TRANSITION IN SAMPLING FROM RESTRICTED BOLTZMANN MACHINES
Kwon, Y., Qin, Q., Wang, G. & Wei, Y., Apr 2026, In: Annals of Applied Probability. 36, 2, p. 1615-1652 38 p.Research output: Contribution to journal › Article › peer-review
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Bayesian Optimization for Branching and Nested Hyperparameters in Deep Learning
Zhang, J., Lin, C. C. & Hung, Y., 2026, (Accepted/In press) In: Journal of the American Statistical Association.Research output: Contribution to journal › Article › peer-review