activity
20182021
most citedElastic -means clustering of functional data for posterior exploration, with an application to inference on acute respiratory infection dynamics

4 citations · 4 across the 3 of their papers we have counts for

collaborators

7 papers

stat.AP2021

Spatio-temporal extreme event modeling of terror insurgencies

Lekha Patel, Lyndsay Shand, J. Derek Tucker +1

Extreme events with potential deadly outcomes, such as those organized by terror groups, are highly unpredictable in nature and an imminent threat to society. In particular, quanti…

stat.ME20204 cited

Elastic -means clustering of functional data for posterior exploration, with an application to inference on acute respiratory infection dynamics

Xiao Zang, Sebastian Kurtek, Oksana Chkrebtii +1

We propose a new method for clustering of functional data using a -means framework. We work within the elastic functional data analysis framework, which allows for decomposition…

cs.SI2020

A Deterministic Hitting-Time Moment Approach to Seed-set Expansion over a Graph

Alexander H. Foss, Richard B. Lehoucq, W. Zachary Stuart +2

We introduce HITMIX, a new technique for network seed-set expansion, i.e., the problem of identifying a set of graph vertices related to a given seed-set of vertices. We use the mo…

stat.ME2019

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…

stat.AP2018

Computer model calibration based on image warping metrics: an application for sea ice deformation

Yawen Guan, Christian Sampson, J. Derek Tucker +4

Arctic sea ice plays an important role in the global climate. Sea ice models governed by physical equations have been used to simulate the state of the ice including characteristic…

stat.AP2018

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…