Research Output per year
Fingerprint 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
Regression Tree
Mathematics
Shrinkage
Mathematics
Bayesian Approach
Mathematics
Probit Model
Mathematics
Classification and Regression Trees
Mathematics
Bayesian Classification
Mathematics
Statistical Inference
Mathematics
Autoregressive Time Series
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 1986 2019
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
Stochastic ordering
Methodology
Joint distribution
Consulting
Mixture model
Heteroscedastic BART via Multiplicative Regression Trees
Pratola, M. T., Chipman, H. A., George, E. I. & McCulloch, R. E., Jan 1 2019, (Accepted/In press) In : Journal of Computational and Graphical Statistics.Research output: Contribution to journal › Article
Regression Tree
Multiplicative
Diagnostic Plot
Variance Function
Error Model
1
Citation
(Scopus)
Nonparametric competing risks analysis using Bayesian Additive Regression Trees
Sparapani, R., Logan, B. R., McCulloch, R. & Laud, P. W., Jan 1 2019, (Accepted/In press) In : Statistical Methods in Medical Research.Research output: Contribution to journal › Article
Regression Tree
Competing Risks
Bayes Theorem
Risk Analysis
Regression
1
Citation
(Scopus)
On the Long-Run Volatility of Stocks
Carvalho, C. M., Lopes, H. F. & McCulloch, R., Jul 3 2018, In : Journal of the American Statistical Association. 113, 523, p. 1050-1069 20 p.Research output: Contribution to journal › Article
Long-run
Volatility
Prior Elicitation
Specification
Evaluate
2
Citations
(Scopus)
Decision making and uncertainty quantification for individualized treatments using Bayesian Additive Regression Trees
Logan, B. R., Sparapani, R., McCulloch, R. & Laud, P. W., Jan 1 2017, (Accepted/In press) In : Statistical Methods in Medical Research.Research output: Contribution to journal › Article
Regression Tree
Uncertainty Quantification
Uncertainty
Decision Making
Therapeutics
Projects 2019 2022
- 2 Active
Diagnostic Epigenetics of Infectious agents and Chemical Toxicity (DEPICT)
LaBaer, J., Magee, D., Borges, C., Park, J., McCulloch, R., Hahn, P. & Chung, Y.
DOD-DARPA: Biological Technologies Office (BTO)
7/22/19 → 7/21/21
Project: Research project
Collaborative Research: Innovations for Bayesian Tree Ensemble Methodology
National Science Foundation (NSF)
7/15/19 → 6/30/22
Project: Research project
Statistical methods
Innovation
Learning algorithms
Data mining
Learning systems