Dave Higdon

Publication Activity (10 Years)

Years Active: 2002-2019
Publications (10 Years): 4

Top Topics

Particle Filter

Temporal Constraints

Agent Based Modelling

Top Venues

SIAM/ASA J. Uncertain. Quantification

PLoS Comput. Biol.

Publications

Srinivasan Venkatramanan, Jiangzhuo Chen, Arindam Fadikar, Sandeep Gupta, Dave Higdon, Bryan L. Lewis, Madhav Marathe, Henning S. Mortveit, Anil Vullikanti
Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints. PLoS Comput. Biol. 15 (9) (2019)
Arindam Fadikar, Dave Higdon, Jiangzhuo Chen, Bryan L. Lewis, Srinivasan Venkatramanan, Madhav Marathe
Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation. SIAM/ASA J. Uncertain. Quantification 6 (4) (2018)
Farzaneh Tabataba, Bryan L. Lewis, Milad Hosseinipour, Foroogh S. Tabataba, Srinivasan Venkatramanan, Jiangzhuo Chen, Dave Higdon, Madhav Marathe
Epidemic Forecasting Framework Combining Agent-Based Models and Smart Beam Particle Filtering. ICDM (2017)
Bianica Pires, Joshua Goldstein, Dave Higdon, Paul Sabin, Gizem Korkmaz, Stephanie Shipp, Sallie Keller, Shan Ba, Ken Hamall, Art Koehler, Shane Reese
A Bayesian simulation approach for supply chain synchronization. WSC (2017)
Dave Higdon, Marc Kennedy, James C. Cavendish, John A. Cafeo, Robert D. Ryne
Combining Field Data and Computer Simulations for Calibration and Prediction. SIAM J. Sci. Comput. 26 (2) (2004)
Dave Higdon, Herbert K. H. Lee, Zhuoxin Bi
A Bayesian approach to characterizing uncertainty in inverse problems using coarse and fine-scale information. IEEE Trans. Signal Process. 50 (2) (2002)