1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2024
Wrapped Gaussian Process Functional Regression Model for Batch Data on Riemannian Manifolds
Jinzhao Liu, Chao Liu, Jian Qing Shi +1
Regression is an essential and fundamental methodology in statistical analysis. The majority of the literature focuses on linear and nonlinear regression in the context of the Eucl…
stat.ME2024★ 1 cited
Manifold-valued models for analysis of EEG time series data
Tao Ding, Tom M. W. Nye, Yujiang Wang
We propose a model for time series taking values on a Riemannian manifold and fit it to time series of covariance matrices derived from EEG data for patients suffering from epileps…