5 citations · 6 across the 5 of their papers we have counts for
5 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…
To Deconvolve, or Not to Deconvolve: Inferences of Neuronal Activities using Calcium Imaging Data
Tong Shen, Gyorgy Lur, Xiangmin Xu +1
With the increasing popularity of calcium imaging data in neuroscience research, methods for analyzing calcium trace data are critical to address various questions. The observed ca…
Change-point detection using spectral PCA for multivariate time series
Shuhao Jiao, Tong Shen, Zhaoxia Yu +1
We propose a two-stage approach Spec PC-CP to identify change points in multivariate time series. In the first stage, we obtain a low-dimensional summary of the high-dimensional ti…
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…