240 citations · 810 across the 16 of their papers we have counts for
6 papers · 1 filter
A New Method for Multinomial Inference using Dempster-Shafer Theory
Earl C. Lawrence, Alexander C. Murph, Scott A. Vander Wiel +1
A new method for multinomial inference is proposed by representing the cell probabilities as unordered segments on the unit interval and following Dempster-Shafer (DS) theory. The…
Scaled Vecchia approximation for fast computer-model emulation
Matthias Katzfuss, Joseph Guinness, Earl Lawrence
Many scientific phenomena are studied using computer experiments consisting of multiple runs of a computer model while varying the input settings. Gaussian processes (GPs) are a po…
Partitioning a Large Simulation as It Runs
Kary Myers, Earl Lawrence, Michael Fugate +5
As computer simulations continue to grow in size and complexity, they present a particularly challenging class of big data problems. Many application areas are moving toward exasca…
Computer Model Calibration using the Ensemble Kalman Filter
Dave Higdon, Matt Pratola, James Gattiker +6
The ensemble Kalman filter (EnKF) (Evensen, 2009) has proven effective in quantifying uncertainty in a number of challenging dynamic, state estimation, or data assimilation, proble…
Statistical inverse problems in active network tomography
Earl Lawrence, George Michailidis, Vijayan N. Nair
The analysis of computer and communication networks gives rise to some interesting inverse problems. This paper is concerned with active network tomography where the goal is to rec…
Comment: Monitoring Networked Applications With Incremental Quantile Estimation
Earl Lawrence, George Michailidis, Vijayan N. Nair
Our comments are in two parts. First, we make some observations regarding the methodology in Chambers et al. [arXiv:0708.0302]. Second, we briefly describe another interesting netw…