Emerging New Topics in Functional Data Analysis

(10 Jul 2023–21 Jul 2023)

Organizing Committee



  • Yehua Li (University of California, Riverside)
  • Jian Qing Shi (Southern University of Science and Technology and University of Newcastle)


Advances in modern technology have generated large data sets with high volumes of repeated measurements indexed by time points or spatial locations. Measurements on distinct entities, often in the forms of curves or images, are considered as realizations of random functions. Functional data analysis (FDA) is the collection of methodology to analyze such data. There have been many seminal papers and monographs outlining some fundamental theories and methods in this area. In the past two decades, FDA methods have been widely used in many application domains, including medicine, biology, public health, engineering, finance, economics, and environmental sciences.

In this two-week program, we will focus on the advances in statistical methods for FDA. The specific goal of the proposed workshop will be to equip researchers in FDA with the cutting-edge methods to better conduct theoretical and applied analysis.


Week 1: Recent Developments in Dependent Functional Data and Factor Models, focusing on the recent developments in theory10–14 July 2023N/A
Week 2: Recent Developments in High Dimensional Functional Data Analysis and Applications, focusing on new methodology and applications17–21 July 2023N/A


IMS Auditorium


  • Rong Chen (Rutgers University, USA)
  • Taeryon Choi (Korea University, Korea)
  • Aurore Delaige (University of Melbourne, Australia)
  • Holger Dette (Ruhr-Universität Bochum, Germany)
  • Sonja Greven (Humboldt-Universität zu Berlin, Germany)
  • Tailen Hsing (University of Michigan, USA)
  • Alois Kneip (University of Bonn, Germany)
  • Cheng Li (National University of Singapore, Singapore)
  • Yehua Li (University of California, Riverside, USA)
  • Bing Li (Penn State University, USA)
  • Zhenhua Lin (National University of Singapore, Singapore)
  • Hans-Georg Müller (UC Davis, USA)
  • David Nott (National University of Singapore, Singapore)
  • Debashis Paul (UC Davis, USA)
  • Annie Qu (University of California Irvine, USA)
  • Surajit Ray (University of Glasgow, UK)
  • Hanlin Shang (Macquarie University, Australia)
  • Jian Qing Shi (Southern University of Science and Technology, China and University of Newcastle, UK)
  • Linda Tan (National University of Singapore, Singapore)
  • Jane-Ling Wang (UC Davis, USA)
  • Lan Wang (University of Miami, USA)
  • Wanjie Wang (National University of Singapore, Singapore)
  • Yingcun Xia (National University of Singapore, Singapore)
  • Liming Xiang (Nanyang Technological University, Singapore)
  • Qiwei Yao (London School of Economics, UK)
  • Anderson Zhang (University of Pennsylvania, USA)
  • Anru Zhang (Duke University, USA)
  • Jin-Ting Zhang (National University of Singapore, Singapore)


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