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