Research output per year
Research output per year
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Dive into the research topics where Paul Hahn is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Stochastic Tree Ensembles for Regularized Nonlinear Regression
He, J. & Hahn, P. R., 2023, In: Journal of the American Statistical Association. 118, 541, p. 551-570 20 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
A Symmetric Prior for Multinomial Probit Models
Burgette, L. F., Puelz, D. & Hahn, P. R., 2021, In: Bayesian Analysis. 16, 3, p. 991-1008 18 p.Research output: Contribution to journal › Article › peer-review
Open Access6 Scopus citations -
Digital medicine and the curse of dimensionality
Berisha, V., Krantsevich, C., Hahn, P. R., Hahn, S., Dasarathy, G., Turaga, P. & Liss, J., Dec 2021, In: npj Digital Medicine. 4, 1, 153.Research output: Contribution to journal › Review article › peer-review
Open Access33 Scopus citations -
A Bayesian mixture of experts approach to covariate misclassification
Xia, M., Richard Hahn, P. & Gustafson, P., Dec 2020, In: Canadian Journal of Statistics. 48, 4, p. 731-750 20 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
A Survey of Learning Causality with Data: Problems and Methods
Guo, R., Cheng, L., Li, J., Hahn, P. R. & Liu, H., Sep 2020, In: ACM Computing Surveys. 53, 4, 3397269.Research output: Contribution to journal › Review article › peer-review
Open Access120 Scopus citations
Projects
- 3 Finished
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Short Course on Advanced Regression Modeling for the 2021 DSSI Program
DOE: National Nuclear Security Administration (NNSA)
6/1/21 → 7/31/21
Project: Research project
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Diagnostic Epigenetics of Infectious agents and Chemical Toxicity (DEPICT)
LaBaer, J., Magee, M., Borges, C., Park, J., McCulloch, R., Hahn, P., Chung, Y., Murugan, V. & Lant, T.
DOD-DARPA: Biological Technologies Office (BTO)
7/22/19 → 12/31/20
Project: Research project
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Datasets
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Efficient sampling for Gaussian linear regression with arbitrary priors
Hahn, P. (Contributor), He, J. (Contributor) & Lopes, H. (Contributor), Figshare, 2018
DOI: 10.6084/m9.figshare.6534089.v1, https://tandf.figshare.com/articles/Efficient_sampling_for_Gaussian_linear_regression_with_arbitrary_priors/6534089/1
Dataset
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Efficient Sampling for Gaussian Linear Regression With Arbitrary Priors
Hahn, P. (Contributor), He, J. (Contributor) & Lopes, H. (Contributor), figshare Academic Research System, 2019
DOI: 10.6084/m9.figshare.6534089.v3, https://tandf.figshare.com/articles/Efficient_sampling_for_Gaussian_linear_regression_with_arbitrary_priors/6534089/3
Dataset
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Efficient Sampling for Gaussian Linear Regression With Arbitrary Priors
Hahn, P. (Contributor), He, J. (Contributor) & Lopes, H. (Contributor), Taylor & Francis, 2018
DOI: 10.6084/m9.figshare.6534089.v2, https://tandf.figshare.com/articles/Efficient_sampling_for_Gaussian_linear_regression_with_arbitrary_priors/6534089/2
Dataset
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Stochastic Tree Ensembles for Regularized Nonlinear Regression
Hahn, P. (Creator) & He, J. (Creator), Taylor & Francis, 2021
DOI: 10.6084/m9.figshare.14779373.v2, https://tandf.figshare.com/articles/journal_contribution/Stochastic_tree_ensembles_for_regularized_nonlinear_regression/14779373/2
Dataset
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Efficient Sampling for Gaussian Linear Regression With Arbitrary Priors
Hahn, P. (Contributor), He, J. (Contributor) & Lopes, H. (Contributor), Taylor & Francis, 2019
DOI: 10.6084/m9.figshare.6534089, https://tandf.figshare.com/articles/Efficient_sampling_for_Gaussian_linear_regression_with_arbitrary_priors/6534089
Dataset