Earl Lawrence - researchr alias

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Viewing Publication 1 - 22 from 22

2022

Temporal Characterization and Filtering of Sensor Data to Support Anomaly DetectionMichael J. Grosskopf, Kary L. Myers, Earl Lawrence, Derek Bingham. technometrics, 64(4):475-486, 2022. [doi]

Scaled Vecchia Approximation for Fast Computer-Model EmulationMatthias Katzfuss, Joseph Guinness, Earl Lawrence. juq, 10(2):537-554, 2022. [doi]

2021

Topological Segmentation and Tracking for Space Weather ModelingDivya Banesh, Natalie Klein, Steven Morley, Ayan Biswas, Vania Jordanova, Michael Henderson, Earl Lawrence. bigdataconf 2021: 3784-3788 [doi]

Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural NetworksDivya Banesh, Nishant Panda, Ayan Biswas, Luke Van Roekel, Diane Oyen, Nathan Urban, Michael Grosskopf, Jonathan David Wolfe, Earl Lawrence. bigdataconf 2021: 3731-3739 [doi]

Probabilistic Data-Driven Sampling via Multi-Criteria Importance AnalysisAyan Biswas, Soumya Dutta, Earl Lawrence, John Patchett, Jon C. Calhoun, James P. Ahrens. tvcg, 27(12):4439-4454, 2021. [doi]

In Situ Climate Modeling for Analyzing Extreme Weather EventsSoumya Dutta, Natalie Klein, Li Tang, Jonathan David Wolfe, Luke Van Roekel, James Joseph Benedict, Ayan Biswas, Earl Lawrence, Nathan Urban. sc 2021: 18-23 [doi]

In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian ProcessesMichael Grosskopf, Earl Lawrence, Ayan Biswas, Li Tang, Kelin Rumsey, Luke Van Roekel, Nathan Urban. sc 2021: 31-36 [doi]

An initial exploration of Bayesian model calibration for estimating the composition of rocks and soils on MarsClaire-Alice Hébert, Earl Lawrence, Kary Myers, James Colgan, Elizabeth J. Judge. sadm, 14(6):596-605, 2021. [doi]

A comparison of Gaussian processes and neural networks for computer model emulation and calibrationSamuel Myren, Earl Lawrence. sadm, 14(6):606-623, 2021. [doi]

TributaryPCA: Distributed, Streaming PCA for In Situ Dimension Reduction with Application to Space Weather SimulationsYu Wang, Natalie Klein, Steven Morley, Vania Jordanova, Michael Henderson, Ayan Biswas, Earl Lawrence. sc 2021: 33-39 [doi]

2020

2019

Emulating Satellite Drag from Large Simulation ExperimentsFurong Sun, Robert B. Gramacy, Benjamin Haaland, Earl Lawrence, Andrew Walker. juq, 7(2):720-759, 2019. [doi]

2018

Visualization of Uncertainty for Computationally Intensive Simulations Using High Fidelity EmulatorsAyan Biswas, Kelly R. Moran, Earl Lawrence, James Ahrens. scivis 2018: 47-51 [doi]

2016

Partitioning a Large Simulation as It RunsKary Myers, Earl Lawrence, Michael Fugate, Claire McKay Bowen, Lawrence Ticknor, Jon Woodring, Joanne Wendelberger, Jim Ahrens. technometrics, 58(3):329-340, 2016. [doi]

2014

Specification of the Ionosphere-Thermosphere Using the Ensemble Kalman FilterHumberto C. Godinez, Earl Lawrence, David Higdon, Aaron Ridley, Josef Koller, Alexei Klimenko. dydess 2015: 274-283 [doi]

2013

2008

Bayesian Inference for Multivariate Ordinal Data Using Parameter ExpansionEarl Lawrence, Derek Bingham, Chuanhai Liu, Vijayan N. Nair. technometrics, 50(2):182-191, 2008. [doi]

2006

Analysis of Multi-domain Complex Simulation StudiesJames R. Gattiker, Earl Lawrence, David Higdon. iccsa 2006: 1153-1162 [doi]

2005

Local area network analysis using end-to-end delay tomographyEarl Lawrence, George Michailidis, Vijay N. Nair. sigmetrics, 33(3):39-45, 2005. [doi]

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