Mathematics Data Science Seminar: Fan Dai, Exploratory Factor Analysis of Data on a Sphere

Warning Icon This event is in the past.

When:
January 17, 2024
2:30 p.m. to 3:30 p.m.
Where:
Event category: Seminar
Virtual

Speaker: Fan Dai, Michigan Technological University 

 

Time: Wednesday, January 17, 2:30pm-3:30pm 

 

Place: Virtual 

Zoom link:  

https://wayne-edu.zoom.us/j/96316494795?pwd=Ylc3M0R0R1BYaUZGSnB2dkI2UFRVQT09 

 

Title: Exploratory Factor Analysis of Data on a Sphere 

 

Abstract: Data on high-dimensional unit spheres arise frequently in many disciplines either naturally or as a consequence of preliminary processing and can have complex dependence structures that need to be understood. We develop exploratory factor analysis of the projected normal distribution to explain the variability in such data using a few easily interpreted latent factors. Our methodology provides maximum likelihood estimates through a fast novel alternating expectation profile conditional maximization algorithm, and gives interpretable and insightful results when applied to tweets with the #MeToo hashtag from early December 2018, to time-course functional Magnetic Resonance Images of the average pre-teen brain at rest, to characterize handwritten digits, and to gene expression data from cancerous cells in the Cancer Genome Atlas. 

Contact

Rohini Kumar
rohini.kumar@wayne.edu

Cost

Free
January 2024
SU M TU W TH F SA
31123456
78910111213
14151617181920
21222324252627
28293031123