The four-day workshop on Applications-Driven Geometric Functional Data Analysis, featured tutorials, invited lectures, and a contributed poster sessions. The general aim of holding this workshop was to bring researchers from relatively diverse backgrounds together, and to facilitate an active discussion on an area that is fast emerging as a focal point of research from many perspectives.
Workshop Goals : In line with the NSF DMS priorities for conferences, workshops, and related activities, the workshop has the following goals:
(1) To discuss and highlight the state of the art in the topic areas relating to applications-driven
geometric functional data analysis, and to disseminate these ideas amongst a wider audience; (2) Generate a shortlist of open problems and to provide guidelines for future directions of research; (3) To motivate, recruit, and engage young researchers and researchers from underrepresented
groups in this exciting and impactful research; and, (4) To honor contributions of Prof. Ulf Grenander who championed the use of tools from algebra and
geometry in statistical inferences, and led the community by creating several research directions.
- Martin Bauer (Florida State University);
- Anuj Srivastava (Florida State University)
- Laurent Younes (Johns Hopkins University)
- Tingting Zhang (University of Virginia)
- Hongtu Zhu (The University of Texas, MD Anderson Cancer Center)
- Eric Klassen (email: klassen at math.fsu.edu )
- Jakob Moeller-Andersen (email: jmoeller at math.fsu.edu )
- Wei Wu (email: wwu at stat.fsu.edu)
Supporting InstitutionsThis workshop is supported by:
National Science Foundation
College of Arts and Sciences, FSU Office of Research,
FSU Department of Statistics and
FSU Department of Mathematics.
-   Johns Hopkins Department of Applied Mathematics and Statistics
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