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Dive into the research topics where Jianqing Fan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Interface of Statistical Learning and Optimal Decisions
Fan, J. (PI)
NSF - National Science Foundation
7/1/22 → 6/30/26
Project: Research project
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Robust Feature Augmentation and Uncertain Quantification in Data Science
Fan, J. (PI)
4/1/22 → 3/31/25
Project: Research project
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FRG: Collaborative Research: Flexible Network Inference
Fan, J. (PI)
NSF - National Science Foundation
7/1/21 → 6/30/24
Project: Research project
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Robust and Distributed Statistical Learning from Big Data
Fan, J. (PI)
NSF - National Science Foundation
7/15/17 → 6/30/23
Project: Research project
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Are Latent Factor Regression and Sparse Regression Adequate?
Fan, J., Lou, Z. & Yu, M., 2024, In: Journal of the American Statistical Association. 119, 546, p. 1076-1088 13 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Factor Augmented Sparse Throughput Deep ReLU Neural Networks for High Dimensional Regression
Fan, J. & Gu, Y., 2024, In: Journal of the American Statistical Association. 119, 548, p. 2680-2694 15 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
INFERENCE FOR HETEROSKEDASTIC PCA WITH MISSING DATA
Yan, Y., Chen, Y. & Fan, J., Apr 2024, In: Annals of Statistics. 52, 2, p. 729-756 28 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
MAXIMUM LIKELIHOOD ESTIMATION IS ALL YOU NEED FOR WELL-SPECIFIED COVARIATE SHIFT
Ge, J., Tang, S., Fan, J., Ma, C. & Jin, C., 2024.Research output: Contribution to conference › Paper › peer-review
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ON THE PROVABLE ADVANTAGE OF UNSUPERVISED PRETRAINING
Ge, J., Tang, S., Fan, J. & Jin, C., 2024.Research output: Contribution to conference › Paper › peer-review