23 citations · 26 across the 4 of their papers we have counts for
10 papers
Regression Models Using Shapes of Functions as Predictors
Kyungmin Ahn, J. Derek Tucker, Wei Wu +1
Functional variables are often used as predictors in regression problems. A commonly-used parametric approach, called {\it scalar-on-function regression}, uses the $\ltwo$ inner pr…
Statistical Analysis and Modeling of the Geometry and Topology of Plant Roots
Guan Wang, Hamid Laga, Jinyuan Jia +2
The root is an important organ of a plant since it is responsible for water and nutrient uptake. Analyzing and modelling variabilities in the geometry and topology of roots can hel…
Discovering Common Change-Point Patterns in Functional Connectivity Across Subjects
Mengyu Dai, Zhengwu Zhang, Anuj Srivastava
This paper studies change-points in human brain functional connectivity (FC) and seeks patterns that are common across multiple subjects under identical external stimulus. FC relat…
Elastic Functional Principal Component Regression
J. Derek Tucker, John Lewis, Anuj Srivastava
We study regression using functional predictors in situations where these functions contain both phase and amplitude variability. In other words, the functions are misaligned due t…
Robust Comparison of Kernel Densities on Spherical Domains
Zhengwu Zhang, Eric Klassen, Anuj Srivastava
While spherical data arises in many contexts, including in directional statistics, the current tools for density estimation and population comparison on spheres are quite limited.…
Shape-Constrained Univariate Density Estimation
Sutanoy Dasgupta, Debdeep Pati, Ian H. Jermyn +1
While the problem of estimating a probability density function (pdf) from its observations is classical, the estimation under additional shape constraints is both important and cha…