20 citations · 43 across the 13 of their papers we have counts for
5 papers · 1 filter
Upscaling Uncertainty with Dynamic Discrepancy for a Multi-scale Carbon Capture System
K. Sham Bhat, David S. Mebane, Curtis B. Storlie +1
Uncertainties from model parameters and model discrepancy from small-scale models impact the accuracy and reliability of predictions of large-scale systems. Inadequate representati…
Modeling and Predicting Power Consumption of High Performance Computing Jobs
Curtis Storlie, Joe Sexton, Scott Pakin +3
Power is becoming an increasingly important concern for large supercomputing centers. Due to cost concerns, data centers are becoming increasingly limited in their ability to enhan…
A Frequentist Approach to Computer Model Calibration
Raymond K. W. Wong, Curtis B. Storlie, Thomas C. M. Lee
This paper considers the computer model calibration problem and provides a general frequentist solution. Under the proposed framework, the data model is semi-parametric with a nonp…
Calibration of Computational Models with Categorical Parameters and Correlated Outputs via Bayesian Smoothing Spline ANOVA
Curtis B. Storlie, William A. Lane, Emily M. Ryan +2
It has become commonplace to use complex computer models to predict outcomes in regions where data does not exist. Typically these models need to be calibrated and validated using…
Stochastic identification of malware with dynamic traces
Curtis Storlie, Blake Anderson, Scott Vander Wiel +3
A novel approach to malware classification is introduced based on analysis of instruction traces that are collected dynamically from the program in question. The method has been im…