In this presentation we explore the development and application of factor analysis with functional data.
Functional data analysis, which involves data repeatedly measured over some domain (such as space or time), often makes use of dimension reduction techniques such as principal component analysis, but factor analysis has thus far been relatively under explored in this area.
Motivated by applications to fMRI which require interpretable dimension reduction tools, we build a factor analysis model suitable for such data which provides interpretable components that scientists can make use of in their downstream analyses.
15 Novembre, 2024, ore 12:00
Matthew Reimherr
Principal Research Scientist at Amazon Affiliate Professor of Statistics at Penn State University
In person: Room 34 (4th floor) building CU002 Scienze Statistiche
Webinar: Link Zoom
https://uniroma1.zoom.us/j/83625004899?pwd=bXCtz0mp759PUh2lkqT0BUoVa0Uegg.1
ID riunione: 836 2500 4899
Codice d’accesso: 123456