Bradley C. Boehmke
Bradley C. Boehmke
84.51°
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Title
Cited by
Cited by
Year
gbm: Generalized boosted regression models
B Greenwell, B Boehmke, J Cunningham, G Developers
R package version 2 (5), 2019
1612019
Hands-on machine learning with R
B Boehmke, B Greenwell
Chapman and Hall/CRC, 2019
1252019
Package ‘gbm’
B Greenwell, B Boehmke, J Cunningham, GBM Developers, ...
R package version 2 (5), 2019
1062019
A simple and effective model-based variable importance measure
BM Greenwell, BC Boehmke, AJ McCarthy
arXiv preprint arXiv:1805.04755, 2018
732018
A quantified Kraljic Portfolio Matrix: Using decision analysis for strategic purchasing
RT Montgomery, JA Ogden, BC Boehmke
Journal of Purchasing and Supply Management, 2017
422017
Toward understanding outcomes associated with data quality improvement
BT Hazen, FK Weigel, JD Ezell, BC Boehmke, RV Bradley
International Journal of Production Economics 193, 737-747, 2017
262017
The Future of Supply Chain Information Systems: The Open Source Ecosystem
BC Boehmke, BT Hazen
Global Journal of Flexible Systems Management, 1-6, 2017
232017
Embedded analytics: improving decision support for humanitarian logistics operations
DA Griffith, BC Boehmke, RV Bradley, BT Hazen, AW Johnson
Annals of Operations Research, 1-19, 2017
202017
Data Wrangling with R
BC Boehmke
Springer International Publishing, 2016
142016
gbm: Generalized Boosted Regression Models, 2019
B Greenwell, B Boehmke, J Cunningham, GBM Developers
URL https://CRAN. R-project. org/package= gbm. R package version 2 (5), 2019
122019
Packagegbm’-Generalized Boosted Regression Models
B Greenwell, B Boehmke, J Cunningham
CRAN Repos, 2019
112019
Cyber anomaly detection: Using tabulated vectors and embedded analytics for efficient data mining.
RJ Gutierrez, KW Bauer, BC Boehmke, CM Saie, TJ Bihl
Journal of Algorithms and Computational Technology, 2018
112018
Variable Importance Plots-An Introduction to the vip Package.
BM Greenwell, BC Boehmke, B Gray
R J. 12 (1), 343, 2020
102020
The influence of operational resources and activities on indirect personnel costs: A multilevel modeling approach
BC Boehmke, AW Johnson, ED White, JD Weir, MA Gallagher
The Engineering Economist 61 (4), 289-312, 2016
102016
Bending the cost curve: Moving the focus from macro-level to micro-level cost trends with cluster analysis
BC Boehmke, AW Johnson, ED White, JD Weir, MA Gallagher
Journal of Cost Analysis and Parametrics 8 (2), 126-148, 2015
102015
vip: Variable Importance Plots
B Greenwell, B Boehmke, B Gray
R package version 0.2 2, 2020
92020
gbm: Generalized boosted regression models (version 2.1. 5)
B Greenwell, B Boehmke, J Cunningham, GBM Developers
R package, 2019
92019
Residuals and diagnostics for binary and ordinal regression models: An introduction to the sure package.
BM Greenwell, AJ McCarthy, BC Boehmke, L Dungang
The R Journal, 2018
92018
Tooth-to-Tail Impact Analysis: Combining Econometric Modeling and Bayesian Networks to Assess Support Cost Consequences Due to Changes in Force Structure
BC Boehmke, AW Johnson, ED White, W Jeffery D, MA Gallagher
Journal of Cost Analysis and Parametrics 9 (1), 2-31, 2016
82016
Grabbing the Air Force by the tail: Applying strategic cost analytics to understand and manage indirect cost behavior
BC Boehmke
AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF …, 2015
82015
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