Dave Higdon - Concepedia

Author

Dave Higdon

Los Alamos National Laboratory

Also Known As

Bruce A. Robinson, D. Higdon, D. M. Higdon, Dave Higdon, Dave M Higdon, Higdon, D., Higdon, Dave, Higdon, Dave M.

Publications

3.3K

Citations

H-Index

Concepts

All Affiliations

Los Alamos National Laboratory Virginia Tech The Ohio State University Biocom Johns Hopkins University Applied Physics Laboratory

About

Dave Higdon is an author at Los Alamos National Laboratory specializing in engineering, data science, and modeling and simulation.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	15	1.3K
2	Public Health	4	4	254
3	Management	3	3	677
4	Natural Sciences	2	2	158
5	Medicine	1	1	63

Dave Higdon

Publications

2.8K

Citations

H-Index

Page 1

	Year	Citations
Computer Model Calibration Using High-Dimensional Output Dave Higdon, James Gattiker, Brian J. Williams, Journal of the American Statistical Association	2008	857
Combining Field Data and Computer Simulations for Calibration and Prediction Dave Higdon, Marc C. Kennedy, James C. Cavendish, SIAM Journal on Scientific Computing EngineeringComputational ModelMonte Carlo MethodsSimulationUncertain Data	2004	623
Using data-driven agent-based models for forecasting emerging infectious diseases Srinivasan Venkatramanan, Bryan Lewis, Jiangzhuo Chen, Epidemics	2017	203
Forecasting seasonal influenza with a state-space SIR model Dave Osthus, Kyle S. Hickmann, Petruţa C. Caragea, The Annals of Applied Statistics	2017	164
CIRCULARITY OF THE<i>INTERSTELLAR BOUNDARY EXPLORER</i>RIBBON OF ENHANCED ENERGETIC NEUTRAL ATOM (ENA) FLUX H. O. Funsten, R. Demajistre, P. C. Frisch, The Astrophysical Journal PhotometryEngineeringRibbon CenterPhysicsCosmic Plasma	2013	137
A Bayesian calibration approach to the thermal problem Dave Higdon, Charles Nakhleh, James Gattiker, Computer Methods in Applied Mechanics and Engineering Bayesian StatisticsEngineeringCalibrationUncertainty QuantificationNumerical Simulation	2008	133
Combining experimental data and computer simulations, with an application to flyer plate experiments Dave Higdon, Sallie Keller‐McNulty, Michael D. McKay, Bayesian Analysis EngineeringAerospace SimulationFree Surface VelocitySimulationComputer-aided Design	2006	91
Uncertainty Quantification in Climate Modeling and Projection Yun Qian, C. S. Jackson, Filippo Giorgi, Bulletin of the American Meteorological Society	2016	84
Forecasting influenza activity using machine-learned mobility map Srinivasan Venkatramanan, Adam Sadilek, Arindam Fadikar, Nature Communications	2021	77
Markov Random Field Models for High-Dimensional Parameters in Simulations of Fluid Flow in Porous Media Herbert K. H. Lee, Dave Higdon, Zhuoxin Bi, Technometrics EngineeringFluid MechanicsHydrogeologic SystemPorous BodyPermeability Field	2002	74

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