•  
  •  
 

Journal of Undergraduate Research

Keywords

adaptive Bayesian approach, threat-detection modeling

College

Physical and Mathematical Sciences

Department

Statistics

Abstract

Detection of biological and chemical threats is an important consideration in the modern national defense policy. Much of the testing and evaluation of threat detection technologies is performed without appropriate uncertainty quantification. Under the guidance of Dr. Shane Reese, my ORCA project dealt with developing a more effective and cost-efficient way of testing threat detection technologies. I utilized a Bayesian Gaussian Process model that allows for a more flexible and robust model t. I also developed an adaptive experimental design scheme that provides more information than a typical experimental design by learning the concentration levels that we are more interested in and performing more tests around those locations.

Download

Share

COinS