1 citations · 1 across the 4 of their papers we have counts for
4 papers
Functional Principal Component Analysis for Continuous non-Gaussian, Truncated, and Discrete Functional Data
Debangan Dey, Rahul Ghosal, Kathleen Merikangas +1
Mobile health studies often collect multiple within-day self-reported assessments of participants' behavior and well-being on different scales such as physical activity (continuous…
Two-sample tests for repeated measurements of histogram objects with applications to wearable device data
Jingru Zhang, Kathleen R. Merikangas, Hongzhe Li +1
Repeated observations have become increasingly common in biomedical research and longitudinal studies. For instance, wearable sensor devices are deployed to continuously track phys…
Graph-Fused Multivariate Regression via Total Variation Regularization
Ying Liu, Bowei Yan, Kathleen Merikangas +1
In this paper, we propose the Graph-Fused Multivariate Regression (GFMR) via Total Variation regularization, a novel method for estimating the association between a one-dimensional…
Total Variation Regularized Tensor-on-scalar Regression
Ying Liu, Bowei Yan, Kathleen Merikangas +1
In this paper, we propose Total Variation Regularized Tensor-on-scalar Regression(TVTR), a novel method for estimating the association between a tensor outcome (a one dimensional o…