4 papers
Bayesian Mixed-Effects Models for Multilevel Two-way Functional Data: Applications to EEG Experiments
Xiaomeng Ju, Thaddeus Tarpey, Hyung G Park
In multi-condition EEG experiments, brain activity is recorded as subjects perform various tasks or are exposed to different stimuli. The recorded signals are commonly transformed…
Projection-pursuit Bayesian regression for symmetric matrix predictors
Xiaomeng Ju, Hyung G. Park, Thaddeus Tarpey
This paper develops a novel Bayesian approach for nonlinear regression with symmetric matrix predictors, often used to encode connectivity of different nodes. Unlike methods that v…
Bayesian scalar-on-network regression with applications to brain functional connectivity
Xiaomeng Ju, Hyung G. Park, Thaddeus Tarpey
This paper presents a Bayesian regression model relating scalar outcomes to brain functional connectivity represented as symmetric positive definite (SPD) matrices. Unlike many pro…
K-Tensors: Clustering Positive Semi-Definite Matrices
Hanchao Zhang, Xiaomeng Ju, Baoyi Shi +2
This paper presents a new clustering algorithm for symmetric positive semi-definite (SPSD) matrices, called K-Tensors. The method identifies structured subsets of the SPSD cone cha…