Wenxin Jiang

  • 775 Citations
1991 …2019
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Personal profile

Education/Academic qualification

Statistics, PhD, Cornell University

… → 1996

Statistics, MS, Cornell University

… → 1995

Physics, MS, Yale University

… → 1989

Astronomy, BS, Nanjing University

… → 1988

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Nonparametric Regression Mathematics
Covariates Mathematics
Model Selection Mathematics
Measurement Error Mathematics
Regression Model Mathematics
Poisson Model Mathematics
Random Effects Mathematics
Variable Selection Mathematics

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Grants 2007 2008

Research Output 1991 2019

An integrative classification model for multiple sclerosis lesion detection in multimodal MRI

(Zoe) Zhang, F., Wang, J. P. & Jiang, W., Jan 1 2019, In : Statistics and its Interface. 12, 2, p. 193-202 10 p.

Research output: Contribution to journalArticle

Multiple Sclerosis
Magnetic resonance
Magnetic resonance imaging
Textures
Neuroimaging

Bayesian Complex Network Community Detection Using Nonparametric Topic Model

Zhu, R. & Jiang, W., Jan 1 2019, Complex Networks and Their Applications VII - Volume 1 Proceedings The 7th International Conference on Complex Networks and their Applications COMPLEX NETWORKS 2018. Lambiotte, R., Rocha, L. M., Lió, P., Cherifi, H., Aiello, L. M. & Cherifi, C. (eds.). Springer Verlag, p. 280-291 12 p. (Studies in Computational Intelligence; vol. 812).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Complex networks
Experiments
1 Citation (Scopus)

On limiting distribution of quasi-posteriors under partial identification

Jiang, W., Jul 1 2017, In : Econometrics and Statistics. 3, p. 60-72 13 p.

Research output: Contribution to journalArticle

Partial Identification
Moment Conditions
Total Variation
Limiting Distribution
Partial identification

On Monte Carlo computation of posterior expectations with uncertainty

Wei, W. & Jiang, W., Jul 3 2017, In : Journal of Statistical Computation and Simulation. 87, 10, p. 2038-2049 12 p.

Research output: Contribution to journalArticle

Uncertainty
Computational methods
Computational Methods
Statistics
Sampling
2 Citations (Scopus)

Ultra-high dimensional variable selection with application to normative aging study: DNA methylation and metabolic syndrome

Yoon, G., Zheng, Y., Zhang, Z., Zhang, H., Gao, T., Joyce, B., Zhang, W., Guan, W., Baccarelli, A. A., Jiang, W., Schwartz, J., Vokonas, P. S., Hou, L. & Liu, L., Mar 7 2017, In : BMC bioinformatics. 18, 1, 156.

Research output: Contribution to journalArticle

DNA Methylation
Variable Selection
Elastic Net
Screening
High-dimensional