學術研究

(Theory webinar) Optimal Group Testing with Heterogeneous Risks

日期 2021-01-07 (週四)
時間 09:00 AM
地點 Conference Room B110
演講者 Professor Hülya Eraslan
演講者簡介 Professor Eraslan received her Ph.D. in Economics from University of Minnesota in 2001. She is currently the Ralph O’Connor Professor of Economics at Rice University. Her research field are Political Economy, Game Theory, and Corporate Finance.
摘要 We consider optimal group testing of individuals with heterogeneous risks for an infectious disease. Our algorithm significantly reduces the number of tests needed compared to Dorfman (1943). When both low-risk and high-risk samples have sufficiently low infection probability, it is optimal to form heterogeneous groups with exactly one high-risk sample per group. Otherwise, it is never optimal to form heterogeneous groups, but group testing may still be optimal for each risk type. For a range of parameters including the U.S. Covid-19 positivity rate for many periods during the pandemic, the optimal group test size is four.