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.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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Automatic Parallel Tempering Markov Chain Monte Carlo with Nii-C
Jin, S., Jiang, W. & Wu, D. H., Sep 1 2024, In: Astrophysical Journal, Supplement Series. 274, 1, 10.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Bayesian Knowledge Infusion for Studying Historical Sunspot Numbers
Jiang, W. & Ji, H., Sep 2024, In: Universe. 10, 9, 370.Research output: Contribution to journal › Article › peer-review
Open Access -
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
6 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
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