1 citations · 1 across the 4 of their papers we have counts for
6 papers
Ridge-penalized adaptive Mantel test and its application in imaging genetics
Dustin Pluta, Tong Shen, Gui Xue +3
We propose a ridge-penalized adaptive Mantel test (AdaMant) for evaluating the association of two high-dimensional sets of features. By introducing a ridge penalty, AdaMant tests t…
A Measurement of In-Betweenness and Inference Based on Shape Theories
Dustin Pluta, Xiangmin Xu, Daniel L. Gillen +1
We propose a statistical framework to investigate whether a given subpopulation lies between two other subpopulations in a multivariate feature space. This methodology is motivated…
Conjoined Dirichlet Process
Michelle N. Ngo, Dustin S. Pluta, Alexander N. Ngo +1
Biclustering is a class of techniques that simultaneously clusters the rows and columns of a matrix to sort heterogeneous data into homogeneous blocks. Although many algorithms hav…
Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes
Lingge Li, Dustin Pluta, Babak Shahbaba +3
Dynamic functional connectivity, as measured by the time-varying covariance of neurological signals, is believed to play an important role in many aspects of cognition. While many…
Topological Brain Network Distances
Moo K. Chung, Hyekyoung Lee, Andrey Gritsenko +4
Existing brain network distances are often based on matrix norms. The element-wise differences in the existing matrix norms may fail to capture underlying topological differences.…
Statistical Challenges in Modeling Big Brain Signals
Zhaoxia Yu, Dustin Pluta, Tong Shen +3
Brain signal data are inherently big: massive in amount, complex in structure, and high in dimensions. These characteristics impose great challenges for statistical inference and l…