5 citations · 12 across the 8 of their papers we have counts for
8 papers
Bootstrap-based Hypothesis Test of 2D Contours using Elastic Shape Analysis
Susan Glenn, Justin Strait, Kelly Moran +2
Shapes of objects in images are often complex, high-dimensional, and vary in ways not captured by standard Euclidean geometry and statistics. Statistical shape analysis encompasses…
Shrinkage priors for Bayesian Substitute Confounders
Yordan P. Raykov, Hengrui Luo, Justin D. Strait +1
Multi-cause observational studies contain information about unmeasured confounding through the dependence structure among causes. However, literal imputation of the unobserved conf…
Kernel-based estimators for functional causal effects
Yordan P. Raykov, Hengrui Luo, Justin D. Strait +1
We propose causal effect estimators based on empirical Fréchet means and operator-valued kernels, tailored to functional data spaces. These methods address the challenges of high-d…
Sensitivity Analysis in the Presence of Intrinsic Stochasticity for Discrete Fracture Network Simulations
Alexander C. Murph, Justin D. Strait, Kelly R. Moran +3
Large-scale discrete fracture network (DFN) simulators are standard fare for studies involving the sub-surface transport of particles since direct observation of real world undergr…
Bayesian Learning of Gas Transport in Three-Dimensional Fracture Networks
Yingqi Shi, Donald J. Berry, John Kath +9
Modeling gas flow through fractures of subsurface rock is a particularly challenging problem because of the heterogeneous nature of the material. High-fidelity simulations using di…
Nonparametric Multi-shape Modeling with Uncertainty Quantification
Hengrui Luo, Justin D. Strait
The modeling and uncertainty quantification of closed curves is an important problem in the field of shape analysis, and can have significant ramifications for subsequent statistic…
Combining Geometric and Topological Information for Boundary Estimation
Hengrui Luo, Justin Strait
A fundamental problem in computer vision is boundary estimation, where the goal is to delineate the boundary of objects in an image. In this paper, we propose a method which jointl…
Automatic Detection and Uncertainty Quantification of Landmarks on Elastic Curves
Justin Strait, Oksana Chkrebtii, Sebastian Kurtek
A population quantity of interest in statistical shape analysis is the location of landmarks, which are points that aid in reconstructing and representing shapes of objects. We pro…