Organizing Committee
Co-chairs
- Jialiang Li (National University of Singapore)
- Yehua Li (University of California, Riverside)
- David Nott (National University of Singapore)
- Jian Qing Shi (Southern University of Science and Technology and Newcastle University)
- Wanjie Wang (National University of Singapore)
- Jin-Ting Zhang (National University of Singapore)
Overview
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.
Activities
Click here for Recordings of talks
Venue
IMS Auditorium
20 July 2023: Seminar room S16-06-118
Address: Department of Statistics & Data Science, National University of Singapore, 6 Science Drive 2, Singapore 117546
Speakers
- Maryam AlAlawi (Sultan Qaboos University, Oman)
- Rong Chen (Rutgers University, USA)
- Aurore Delaige (University of Melbourne, Australia)
- Sonja Greven (Humboldt-Universität zu Berlin, Germany)
- Tailen Hsing (University of Michigan, USA)
- Xuejun Jiang (Southern University of Science and Technology, China)
- Alois Kneip (University of Bonn, Germany)
- Kuang-Yao Lee (Temple University, USA)
- Bing Li (Penn State University, USA)
- Cheng Li (National University of Singapore, Singapore)
- Yaguang Li (University of Science and Technology of China, China)
- Yehua Li (University of California, Riverside, USA)
- Zhenhua Lin (National University of Singapore, Singapore)
- Shan Luo (Shanghai Jiaotong University, China)
- Hans-Georg Müller (UC Davis, USA)
- David Nott (National University of Singapore, Singapore)
- Annie Qu (University of California Irvine, USA)
- Hanlin Shang (Macquarie University, Australia)
- Jian Qing Shi (Southern University of Science and Technology, China and Newcastle University, UK)
- Linda Tan (National University of Singapore, Singapore)
- Di Wang (Shanghai Jiaotong University, China)
- Jane-Ling Wang (UC Davis, USA)
- Lan Wang (University of Miami, USA)
- Wanjie Wang (National University of Singapore, Singapore)
- Liming Xiang (Nanyang Technological University, Singapore)
- Daewon Yang (Chungnam National University, Korea)
- Qiwei Yao (London School of Economics and Political Science, UK)
- Anderson Zhang (University of Pennsylvania, USA)
- Anru Zhang (Duke University, USA)
- Jin-Ting Zhang (National University of Singapore, Singapore)
- Hang Zhou (UC Davis, USA)
Poster
Group Photo
