Publications (5)
A comprehensive comparison of total-order estimators for global sensitivity analysis
Arnald Puy, William Becker, Samuele Lo Piano +1
Sensitivity analysis helps identify which model inputs convey the most uncertainty to the model output. One of the most authoritative measures in global sensitivity analysis is the…
Why So Many Published Sensitivity Analyses Are False. A Systematic Review of Sensitivity Analysis Practices
Andrea Saltelli, Ksenia Aleksankina, William Becker +5
Sensitivity analysis (SA) has much to offer for a very large class of applications, such as model selection, calibration, optimization, quality assurance and many others. Sensitivi…
Computational Framework for Behind-The-Meter DER Techno-Economic Modeling and Optimization -- REopt Lite
Sakshi Mishra, Josiah Pohl, Nick Laws +7
The global energy system is undergoing a major transformation. Renewable energy generation is growing and is projected to accelerate further with the global emphasis on decarboniza…
Exploring Hoover and Perez's experimental designs using global sensitivity analysis
William Becker, Paolo Paruolo, Andrea Saltelli
This paper investigates variable-selection procedures in regression that make use of global sensitivity analysis. The approach is combined with existing algorithms and it is applie…
ODD: A Benchmark Dataset for the Natural Language Processing based Opioid Related Aberrant Behavior Detection
Sunjae Kwon, Xun Wang, Weisong Liu +7
Opioid related aberrant behaviors (ORABs) present novel risk factors for opioid overdose. This paper introduces a novel biomedical natural language processing benchmark dataset nam…