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Multiple change-point detection and its applications
【2018.5.25 4:00pm, N613】

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 2018-5-10 

  Colloquia & Seminars 

  Speaker

Prof. Yuehua Wu, York University

  Title

Multiple change-point detection and its applications

  Time

2018.5.25 16:00-17:00

  Venue

N613

  Abstract

Multiple change-point problems can be found in many areas of science and engineering. To detect all change-points in a data sequence is of great importance. A statistical analysis without considering their existence may lead to an incorrect or improper conclusion. We will present some numerical examples to illustrate a change-point problem, and show the importance to include a change-point in data modeling. Owing to the rapid development in model selection methods, a multiple change-point detection method can be built upon by converting a multiple change-point detection problem into a variable selection problem via proper segmentation of a data sequence. We will discuss recent developments in multiple change-point detection using this methodology and their applications in real problems. 

  Affiliation

 

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