2019概率统计及其应用系列报告之六(史晓平)

发布时间:2019-05-22作者:访问量:10

报告题目: Consistent and powerful non-Euclidean graph-based change-point test with applications to segmenting random interfered video data

报 告 人: 史晓平

报告摘要:The change-point detection has been carried out in terms of the Euclidean minimum spanning tree (MST) and shortest Hamiltonian path (SHP), with successful applications in the determination of authorship of a classic novel, the detection of change in a network over time, the detection of cell divisions, etc. However, these Euclidean graph-based tests may fail if a dataset contains random interferences. To solve this problem, we present a powerful non-Euclidean SHP-based test, which is consistent and distribution-free. The simulation shows that the test is more powerful than both Euclidean MST- and SHP-based tests and the non-Euclidean MST-based test. Its applicability in detecting both landing and departure times in video data of bees’ flower visits is illustrated.

报告时间: 2019528(周二)  16:00-17:00

报告地点: 磬苑校区数学科学学院H306

欢迎各位老师、同学届时前往!

 

                                       科学技术处

2019522


返回原图
/