Grants per year
Personal profile
Research Interests
Professor Jiang's general research interests include Mathematical Statistics, Biostatistics, and Statistical and Computational Learning Theory. Some recent works include recurrent events analysis in the area of biostatistics; and theoretical aspects of mixtures and hierarchical mixtures of experts in the area of statistical learning.
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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Collaborations and top research areas from the last five years
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Grants
- 2 Finished
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A Theoretical Foundation for Applications of Bayesian Variable Selection
Jiang, W. (PD/PI) & Tanner, M. A. (Co-PD/PI)
9/1/07 → 8/31/08
Project: Research project
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A Theoretical Foundation for Applications of Bayesian Variable Selection
Jiang, W. (PD/PI) & Tanner, M. A. (Co-PD/PI)
9/1/07 → 8/31/08
Project: Research project
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Extended graphical lasso for multiple interaction networks for high dimensional omics data
Xu, Y., Jiang, H. & Jiang, W., Oct 2021, In: PLoS computational biology. 17, 10 October, e1008794.Research output: Contribution to journal › Article › peer-review
Open Access -
Ecological Regression with Partial Identification
Jiang, W., King, G., Schmaltz, A. & Tanner, M. A., Jan 1 2020, In: Political Analysis. 28, 1, p. 65-86 22 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Including a Nugget Effect in Lifted Brownian Covariance Models
Yu, Y., Zhang, N., Apley, D. W. & Jiang, W., Oct 2020, In: SIAM-ASA Journal on Uncertainty Quantification. 8, 4, p. 1338-1357 20 p.Research output: Contribution to journal › Article › peer-review
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Simple Quasi-Bayes Approach for Modeling Mean Medical Costs
Yoon, G., Jiang, W., Liu, L. & Shih, Y. C. T., May 1 2020, In: International Journal of Biostatistics. 16, 1, 20180122.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
An integrative classification model for multiple sclerosis lesion detection in multimodal MRI
(Zoe) Zhang, F., Wang, J. P. & Jiang, W., 2019, In: Statistics and its Interface. 12, 2, p. 193-202 10 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations
Datasets
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Replication Data for: Ecological Regression with Partial Identification
Jiang, W. (Creator), King, G. (Creator), Schmaltz, A. (Creator), Tanner, M. A. (Creator) & King, G. (Creator), Harvard Dataverse, 2019
DOI: 10.7910/dvn/w7kzvl, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/W7KZVL
Dataset
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Replication Data for: Ecological Regression with Partial Identification
Jiang, W. (Creator), King, G. (Creator), Schmaltz, A. (Creator), Tanner, M. A. (Creator) & King, G. (Creator), Harvard Dataverse, 2018
DOI: 10.7910/dvn/8tb7go, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/8TB7GO
Dataset