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.
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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 Access -
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 Access12 Scopus citations -
Optimal Donor Selection for Hematopoietic Cell Transplantation Using Bayesian Machine Learning
Logan, B. R., Maiers, M. J., Sparapani, R. A., Laud, P. W., Spellman, S. R., McCulloch, R. E. & Shaw, B. E., May 1 2021, In: JCO clinical cancer informatics. 5, p. 494-507 14 p.Research output: Contribution to journal › Article › peer-review
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Parsimony inducing priors for large scale state–space models
Lopes, H. F., McCulloch, R. E. & Tsay, R. S., 2021, (Accepted/In press) In: Journal of Econometrics.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Heteroscedastic BART via Multiplicative Regression Trees
Pratola, M. T., Chipman, H. A., George, E. I. & McCulloch, R. E., Apr 2 2020, In: Journal of Computational and Graphical Statistics. 29, 2, p. 405-417 13 p.Research output: Contribution to journal › Article › peer-review
15 Scopus citations
Projects
- 2 Finished
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Diagnostic Epigenetics of Infectious agents and Chemical Toxicity (DEPICT)
LaBaer, J., Magee, D., 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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On the Long-Run Volatility of Stocks
McCulloch, R. (Contributor), Lopes, H. (Contributor) & Carvalho, C. M. (Contributor), figshare Academic Research System, Jul 3 2018
DOI: 10.6084/m9.figshare.5787540.v2, https://doi.org/10.6084%2Fm9.figshare.5787540.v2
Dataset
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Supplemental material for Nonparametric competing risks analysis using Bayesian Additive Regression Trees
McCulloch, R. (Contributor), Laud, P. W. (Contributor), Logan, B. R. (Contributor) & Sparapani, R. (Contributor), figshare SAGE Publications, Jan 1 2020
DOI: 10.25384/sage.7577471.v1, https://doi.org/10.25384%2Fsage.7577471.v1
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: https://doi.org/10.25384/sage.c.4363712.v1, https://doi.org/10.25384%2Fsage.c.4363712.v1
Dataset
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Heteroscedastic BART via Multiplicative Regression Trees
George, E. I. (Contributor), Chipman, H. A. (Contributor), McCulloch, R. (Contributor) & Pratola, M. T. (Contributor), figshare Academic Research System, Jan 1 2021
DOI: 10.6084/m9.figshare.9954989.v3, https://tandf.figshare.com/articles/dataset/Heteroscedastic_BART_Via_Multiplicative_Regression_Trees/9954989/3
Dataset