南開大學鄒長亮教授“多個數據流在線監(jiān)測”監(jiān)測高維數據流已經成為實時檢測的異�；顒尤找嬷匾�，在許多數據豐富的應用程序。在這次演講中，我會給近期的工作了簡短的討論從以下幾個方面：i)制定一個有效的全球監(jiān)測過程的時候，我們不知道哪個數據流的子集受到正在發(fā)生的事件; ⅱ)提供一個過程，它是能夠控制條件假發(fā)現率在當我們的焦點檢測變化每個單獨的數據流中的每個時間點;三)提出的意義上的自由分布檢測方案，它在控制運行長度分布是免費的基本分布。以下是原文。

　　On-Line Monitoring of Multiple Data Streams

　　Monitoring high-dimensional data streams has become increasingly important for real-time detection of abnormal activities in many data-rich applications. In this talk, I will give a brief discussion on recent work from the following aspects: i) develop an efficient global monitoring procedure when we do not know which subset of data streams is affected by an occurring event; ii) suggest a procedure which is able to control the conditional false discovery rate at each time point when our focus is detecting changes in each individual data stream; iii) propose a distribution-free detection scheme in the sense that its in-control run-length distribution is free of the underlying distribution.