Robert McCulloch

Professor

Professor, CLAS-NS: Mathematics and Statistical Sciences, School of (SMSS)

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

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5991 Citations
25 h-Index
49 Article
2 Conference contribution
2 Comment/debate
1 Book

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 Access
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
4 Scopus citations
Nonparametric competing risks analysis using Bayesian Additive Regression Trees
Sparapani, R., Logan, B. R., McCulloch, R. & Laud, P. W., Jan 1 2020, In: Statistical Methods in Medical Research. 29, 1, p. 57-77 21 p.
Research output: Contribution to journal › Article › peer-review
6 Scopus citations
A study into mechanisms of attitudinal scale conversion: A randomized stochastic ordering approach
Gilula, Z., McCulloch, R. E., Ritov, Y. & Urminsky, O., Sep 15 2019, In: Quantitative Marketing and Economics. 17, 3, p. 325-357 33 p.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Decision making and uncertainty quantification for individualized treatments using Bayesian Additive Regression Trees
Logan, B. R., Sparapani, R., McCulloch, R. & Laud, P. W., Apr 1 2019, In: Statistical Methods in Medical Research. 28, 4, p. 1079-1093 15 p.
Research output: Contribution to journal › Article › peer-review
9 Scopus citations

1 Finished
1 Active

Collaborative Research: Innovations for Bayesian Tree Ensemble Methodology
McCulloch, R.
National Science Foundation (NSF)
7/15/19 → 6/30/22
Project: Research project
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.
DOD-DARPA: Biological Technologies Office (BTO)
7/22/19 → 12/31/20
Project: Research project

Nonparametric machine learning and efficient computation with bayesian additive regression trees: The bart r package

Heteroscedastic BART via Multiplicative Regression Trees

Nonparametric competing risks analysis using Bayesian Additive Regression Trees

A study into mechanisms of attitudinal scale conversion: A randomized stochastic ordering approach

Decision making and uncertainty quantification for individualized treatments using Bayesian Additive Regression Trees

Collaborative Research: Innovations for Bayesian Tree Ensemble Methodology

Diagnostic Epigenetics of Infectious agents and Chemical Toxicity (DEPICT)