Research output per year
Research output per year
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Dive into the research topics where Robert McCulloch 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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Influential Observations in Bayesian Regression Tree Models
Pratola, M. T., George, E. I. & McCulloch, R. E., 2023, (Accepted/In press) In: Journal of Computational and Graphical Statistics.Research output: Contribution to journal › Article › peer-review
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Nonparametric failure time: Time-to-event machine learning with heteroskedastic Bayesian additive regression trees and low information omnibus Dirichlet process mixtures
Sparapani, R. A., Logan, B. R., Maiers, M. J., Laud, P. W. & McCulloch, R. E., 2023, (Accepted/In press) In: Biometrics.Research output: Contribution to journal › Article › peer-review
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mBART: Multidimensional Monotone BART
Chipman, H. A., George, E. I., McCulloch, R. E. & Shively, T. S., Jun 2022, In: Bayesian Analysis. 17, 2, p. 515-544 30 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Parsimony inducing priors for large scale state–space models
Lopes, H. F., McCulloch, R. E. & Tsay, R. S., Sep 2022, In: Journal of Econometrics. 230, 1, p. 39-61 23 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Nonparametric machine learning and efficient computation with bayesian additive regression trees: The bart r package
Sparapani, R., Spanbauer, C. & McCulloch, R., 2021, In: Journal of Statistical Software. 97, 1, p. 1-66 66 p.Research output: Contribution to journal › Article › peer-review
Open Access32 Scopus citations
Projects
- 2 Finished
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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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Collaborative Research: Innovations for Bayesian Tree Ensemble Methodology
National Science Foundation (NSF)
7/15/19 → 6/30/22
Project: Research project
Datasets
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Heteroscedastic BART via Multiplicative Regression Trees
Pratola, M. T. (Creator), Chipman, H. A. (Creator), George, E. I. (Creator) & McCulloch, R. (Creator), figshare Academic Research System, 2021
DOI: 10.6084/m9.figshare.9954989.v3, https://tandf.figshare.com/articles/dataset/Heteroscedastic_BART_Via_Multiplicative_Regression_Trees/9954989/3
Dataset
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Nonparametric competing risks analysis using Bayesian Additive Regression Trees
Sparapani, R. (Creator), Logan, B. R. (Creator), McCulloch, R. (Creator) & Laud, P. W. (Contributor), figshare SAGE Publications, 2019
DOI: 10.25384/sage.c.4363712.v1, https://sage.figshare.com/collections/Nonparametric_competing_risks_analysis_using_Bayesian_Additive_Regression_Trees/4363712/1
Dataset
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Nonparametric competing risks analysis using Bayesian Additive Regression Trees
Sparapani, R. (Creator), Logan, B. R. (Creator), McCulloch, R. (Creator) & Laud, P. W. (Contributor), Figshare, 2019
DOI: 10.25384/sage.c.4363712, https://sage.figshare.com/collections/Nonparametric_competing_risks_analysis_using_Bayesian_Additive_Regression_Trees/4363712
Dataset
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Influential Observations in Bayesian Regression Tree Models
Pratola, M. T. (Creator), George, E. I. (Creator) & McCulloch, R. (Creator), Taylor & Francis, 2023
DOI: 10.6084/m9.figshare.22963610, https://tandf.figshare.com/articles/dataset/Influential_Observations_in_Bayesian_Regression_Tree_Models/22963610
Dataset
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Heteroscedastic BART via Multiplicative Regression Trees
Pratola, M. T. (Contributor), Chipman, H. A. (Contributor), George, E. I. (Contributor) & McCulloch, R. (Contributor), Taylor & Francis, 2021
DOI: 10.6084/m9.figshare.9954989, https://tandf.figshare.com/articles/dataset/Heteroscedastic_BART_Via_Multiplicative_Regression_Trees/9954989
Dataset