| Bayesian restricted likelihood methods: Conditioning on insufficient statistics in Bayesian regression (with discussion) JR Lewis, SN MacEachern, Y Lee Bayesian Analysis 16 (4), 1393-1462, 2021 | 31 | 2021 |
| Comparing multiple statistical methods for inverse prediction in nuclear forensics applications JR Lewis, A Zhang, C Anderson-Cook Chemometrics and Intelligent Laboratory Systems, 2017 | 25 | 2017 |
| Elastic functional principal component regression JD Tucker, JR Lewis, A Srivastava Statistical Analysis and Data Mining: The ASA Data Science Journal 12 (2 …, 2019 | 19 | 2019 |
| Handling missing data in self-exciting point process models JD Tucker, L Shand, JR Lewis Spatial statistics 29, 160-176, 2019 | 18 | 2019 |
| Selecting an Informative/Discriminating Multivariate Response for Inverse Prediction EV Thomas, JR Lewis, CM Anderson-Cook, T Burr, MS Hamada Journal of Quality Technology 49 (3), 228-243, 2017 | 11 | 2017 |
| Evaluation of a simple UQ approach to compensate for sparse stress-strain curve data in solid mechanics applications VJ Romero, JF Dampsey, B Schroeder, J Lewis, N Breivik, G Orient, ... 19th AIAA Non-Deterministic Approaches Conference, 0818, 2017 | 9 | 2017 |
| Bayesian restricted likelihood methods JR Lewis The Ohio State University, 2014 | 9 | 2014 |
| Can-Crush Model and Simulations for Verifying Uncertainty Quantification Method for Sparse Stress-Strain Curve Data JF Dempsey, V Romero, N Breivik, G Orient, B Antoun, B Schroeder, ... ASME International Mechanical Engineering Congress and Exposition 50633 …, 2016 | 4 | 2016 |
| A geometric approach for computing tolerance bounds for elastic functional data JD Tucker, JR Lewis, C King, S Kurtek Journal of Applied Statistics 47 (3), 481-505, 2020 | 3 | 2020 |
| Methods for Uncertainty Quantification and Comparison of Weld Residual Stress Measurements and Predictions JR Lewis, D Brooks, ML Benson Pressure Vessels and Piping Conference 58004, V06BT06A069, 2017 | 3 | 2017 |
| Uncertainty Quantification and Comparison of Weld Residual Stress Measurements and Predictions. JR Lewis, DM Brooks Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2016 | 3 | 2016 |
| Robust inference via the blended paradigm J Lewis, Y Lee, S MacEachern JSM Proceedings, Section on Bayesian Statistical Science, 1773-1786, 2012 | 3 | 2012 |
| xLPR Scenario Analysis Report. AC Eckert-Gallup, JR Lewis, DM Brooks, N Martin, L Hund, AJ Clark, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017 | | 2017 |
| Assessment of a UQ Approach for Handling Sparse Samples of Discrete Random Functions (Material Stress-Strain Curves). VJ Romero, JF Dempsey, BB Schroeder, JR Lewis, GE Orient, NL Breivik, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2016 | | 2016 |
J. Derek TuckerDistinguished Memeber of Technical Staff, Statistical Sciences, Sandia National LaboratoriesVerified email at sandia.gov
