Jianqing Fan

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1 Similar Profiles

4 Active
8 Finished

Interface of Statistical Learning and Optimal Decisions
Fan, J.
NSF - National Science Foundation
7/1/22 → 6/30/26
Project: Research project
Robust Feature Augmentation and Uncertain Quantification in Data Science
Fan, J.
Office of Naval Research - MA
4/1/22 → 3/31/25
Project: Research project
DMS/NIGMS 2: Collaborative Research: Developing statistical learning methods for revealing the molecular signatures of microvascular in neural injury
Fan, J.
NSF - National Science Foundation
7/15/21 → 6/30/25
Project: Research project
FRG: Collaborative Research: Flexible Network Inference
Fan, J.
NSF - National Science Foundation
7/1/21 → 6/30/24
Project: Research project
Robust and Distributed Statistical Learning from Big Data
Fan, J.
NSF - National Science Foundation
7/15/17 → 6/30/23
Project: Research project

230 Article
15 Comment/debate
14 Review article
8 Chapter
More

Are Latent Factor Regression and Sparse Regression Adequate?
Fan, J., Lou, Z. & Yu, M., 2023, (Accepted/In press) In: Journal of the American Statistical Association.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Can a Machine Correct Option Pricing Models?
Almeida, C., Fan, J., Freire, G. & Tang, F., 2023, In: Journal of Business and Economic Statistics. 41, 3, p. 995-1009 15 p.
Research output: Contribution to journal › Article › peer-review
2 Scopus citations
Community network auto-regression for high-dimensional time series
Chen, E. Y., Fan, J. & Zhu, X., Aug 2023, In: Journal of Econometrics. 235, 2, p. 1239-1256 18 p.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution Under Random Designs
Chen, Y., Fan, J., Wang, B. & Yan, Y., 2023, In: Journal of the American Statistical Association. 118, 542, p. 858-868 11 p.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Scopus citations
Statistical Inference for High-Dimensional Matrix-Variate Factor Models
Chen, E. Y. & Fan, J., 2023, In: Journal of the American Statistical Association. 118, 542, p. 1038-1055 18 p.
Research output: Contribution to journal › Article › peer-review
4 Scopus citations

Jianqing Fan

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Collaborations and top research areas from the last five years

Dive into details

Interface of Statistical Learning and Optimal Decisions

Robust Feature Augmentation and Uncertain Quantification in Data Science

DMS/NIGMS 2: Collaborative Research: Developing statistical learning methods for revealing the molecular signatures of microvascular in neural injury

FRG: Collaborative Research: Flexible Network Inference

Robust and Distributed Statistical Learning from Big Data

Are Latent Factor Regression and Sparse Regression Adequate?

Can a Machine Correct Option Pricing Models?

Community network auto-regression for high-dimensional time series

Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution Under Random Designs

Statistical Inference for High-Dimensional Matrix-Variate Factor Models

Jianqing Fan

Fingerprint

Collaborations and top research areas from the last five years

Projects

Research output