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John R. Lewis
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Handling Missing Data in Self-exciting Point Process Models
J. Derek Tucker, Lyndsay Shand, John R. Lewis
Spatial Statistics, 2019.
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Elastic Principal Components Regression
J. Derek Tucker, John R. Lewis, Anuj Srivastava
Statistical Analysis and Data Mining: The ASA Data Science Journal, 2018.
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Comparing multiple statistical methods for inverse prediction in nuclear forensics applications
John R. Lewis, Adah Zhang, Christine M. Anderson-Cook
Chemometrics and Intelligent Laboratory Systems, 2018.
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Selecting an Informative/Discriminating Multivariate Response For Inverse Prediction
Edward V. Thomas, John R. Lewis, Christine M. Anderson-Cook, Thomas Burr, Michael Hamada
Journal of Quality Technology, 2017.
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Uncertainty Quantification and Comparison of Weld Residual Stress Measurements and Predictions
John R. Lewis, Dusty Brooks
ASME 2017 Pressure Vessels and Piping Conference, 2017.
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Bayesian Restricted Likelihood Methods
John R. Lewis, Steven MacEachern, Yoonkyung Lee
Technical Report No. 878, Department of Statistics, The Ohio State University, 2014.
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Robust Inference via the Blended Paradigm
John R. Lewis, Yoonkyung Lee, Steven MacEachern
JSM Proceedings, 2012.
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