multivariate functional data

Balancing Accuracy and Efficiency: Compact Representations for Flow and Multivariate Visualization

Amani Ageeli, Ph.D. Student, Computer Science

Nov 25, 10:00 - 12:00

B3 L5 R5220

Scientific Visualization real-time rendering computer graphics interactive visualization large datasets multivariate functional data

This thesis addresses the challenge of interactively visualizing massive scientific datasets by introducing novel frameworks that strategically balance accuracy and efficiency for scalable multivariate filtering, objective time-dependent flow analysis, and hybrid, complexity-guided flow reconstruction.

Multivariate Functional Data Analysis and Visualization

Zhuo Qu, Ph.D. Student, Statistics

Nov 7, 11:00 - 13:00

B3 L5 R5220

functional data analysis multivariate functional data statistics

As a branch of statistics, functional data analysis studies observations regarded as curves, surfaces, or other objects evolving over a continuum. Current methods in functional data analysis usually require data to be smoothed and analyzed marginally, which may hide some outlier information or take extra time on pretreating the data. After exploring model-based fitting for regularly observed multivariate functional data, we explore new visualization tools, clustering, and multivariate functional depths for irregularly observed (sparse) multivariate functional data.