Introduction Self-sampling for cervical cancer screening is a promising strategy to improve coverage and reduce strain on ...

Abstract: In this article, we develop a resilient binary hypothesis testing framework for decision making in adversarial multirobot crowdsensing tasks. This framework exploits stochastic trust ...

Abstract: Sub-pixel target detection is a challenging task in hyperspectral image processing. Most statistical detectors rely on the estimation of the background covariance matrix. In contrast to the ...

Topics include probability theory, sampling theory, estimation, hypothesis testing, and linear regression. Prospective economics majors should take this course in or before the fall semester of the ...