3 papers
stat.ME2024
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…
stat.ME2024
Extracting Scalar Measures from Curves
Lanqiu Yao, Thaddeus Tarpey
The ability to order outcomes is necessary to make comparisons which is complicated when there is no natural ordering on the space of outcomes, as in the case of functional outcome…
stat.ME2024
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…