3 papers
stat.ME2024
Modeling EEG Spectral Features through Warped Functional Mixed Membership Models
Emma Landry, Damla Senturk, Shafali Jeste +3
A common concern in the field of functional data analysis is the challenge of temporal misalignment, which is typically addressed using curve registration methods. Currently, most…
stat.ME2024
Covariate Adjusted Functional Mixed Membership Models
Nicholas Marco, Damla Şentürk, Shafali Jeste +3
Mixed membership models are a flexible class of probabilistic data representations used for unsupervised and semi-supervised learning, allowing each observation to partially belong…
stat.AP2018
Region-Referenced Spectral Power Dynamics of EEG Signals: A Hierarchical Modeling Approach
Qian Li, John Shamshoian, Damla Senturk +4
Functional brain imaging through electroencephalography (EEG) relies upon the analysis and interpretation of high-dimensional, spatially organized time series. We propose to repres…