Research output per year
Research output per year
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Dive into the research topics where Richard Hahn is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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
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Local Gaussian Process Extrapolation for BART Models with Applications to Causal Inference
Wang, M., He, J. & Hahn, P. R., 2024, In: Journal of Computational and Graphical Statistics. 33, 2, p. 724-735 12 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
BAYESIAN DECISION THEORY FOR TREE-BASED ADAPTIVE SCREENING TESTS WITH AN APPLICATION TO YOUTH DELINQUENCY
Krantsevich, C., Hahn, P. R., Zheng, Y. & Katz, C., Jun 2023, In: Annals of Applied Statistics. 17, 2, p. 1038-1063 26 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
DO FORECASTS OF BANKRUPTCY CAUSE BANKRUPTCY? A MACHINE LEARNING SENSITIVITY ANALYSIS
Papakostas, D., Hahn, P. R., Murray, J., Zhou, F. & Gerakos, J., Mar 2023, In: Annals of Applied Statistics. 17, 1, p. 711-739 29 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Stochastic Tree Ensembles for Estimating Heterogeneous Effects
Krantsevich, N., He, J. & Hahn, P. R., 2023, In: Proceedings of Machine Learning Research. 206, p. 6120-6131 12 p.Research output: Contribution to journal › Conference article › peer-review
2 Scopus citations -
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
Open Access12 Scopus citations
Projects
- 3 Finished
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Short Course on Advanced Regression Modeling for the 2021 DSSI Program
Hahn, R. (PI)
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. (PI), Magee, M. (CoI), Borges, C. (CoI), Park, J. (CoI), McCulloch, R. (CoI), Hahn, R. (CoI), Chung, Y. (CoI), Murugan, V. (CoI) & Lant, T. (CoI)
DOD-DARPA: Biological Technologies Office (BTO)
7/22/19 → 12/31/20
Project: Research project
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Datasets
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Stochastic Tree Ensembles for Regularized Nonlinear Regression
Hahn, P. R. (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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Local Gaussian process extrapolation for BART models with applications to causal inference
Wang, M. (Creator), He, J. (Creator) & Hahn, P. R. (Creator), Taylor & Francis, 2023
DOI: 10.6084/m9.figshare.23773592, https://tandf.figshare.com/articles/dataset/Local_Gaussian_process_extrapolation_for_BART_models_with_applications_to_causal_inference/23773592
Dataset
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Efficient Sampling for Gaussian Linear Regression With Arbitrary Priors
Hahn, P. R. (Contributor), He, J. (Contributor) & Lopes, H. F. (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. R. (Contributor), He, J. (Contributor) & Lopes, H. F. (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
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Local Gaussian process extrapolation for BART models with applications to causal inference
Wang, M. (Creator), He, J. (Creator) & Hahn, P. R. (Creator), Taylor & Francis, 2023
DOI: 10.6084/m9.figshare.23773592.v1, https://tandf.figshare.com/articles/dataset/Local_Gaussian_process_extrapolation_for_BART_models_with_applications_to_causal_inference/23773592/1
Dataset