江其衽研究員學術專題演講(110/4/26)

  • 2021-04-12
  • 楊 文敏

國立政治大學統計學系
     
主講人:江其衽研究員 (中央研究院統計科學研究所)
    目:Filtering Based Approaches for Functional Data Classification
時    間:民國110426 (星期一) 下午130 
地    點:國立政治大學逸仙樓050101教室
摘    要:
               Due to lots of practical applications, the topic of classifying functional data has received considerable attention over the last decades. Most classification approaches for functional data are extended from those for multivariate data. During the extension, two strategies, filtering and regularization, have commonly been employed to tackle the issues raised by that functional data are intrinsically infinite-dimensional. Due to space limitations, we focus on the filtering methods in this talk.