4 citations · 7 across the 9 of their papers we have counts for
10 papers
Bigraphical Matérn-Whittle (BMW) Processes for Fast Inference of Big Multivariate Spatial Data on General Domains
Debangan Dey, Alokesh Manna, Christopher J. Geoga
Large spatial data sets now record many correlated variables at many thousands of locations, often on domains where Euclidean distance misrepresents proximity. The central difficul…
Do In-Match Hydration Breaks Alter Match Momentum? A Within-Match Case-Crossover Analysis of the 2026 FIFA World Cup
Debangan Dey
The 2026 FIFA World Cup was the first to mandate hydration breaks, brief stoppages near the twenty-second minute of each half, in every match regardless of weather. A widespread cl…
Doubly-Unlinked Regression for Dependent Data
Anik Burman, Sayantan Choudhury, Debangan Dey
Shuffled regression concerns settings in which covariates and responses are observed without their correct pairing. In dependent-data problems, a second form of missing corresponde…
Multivariate Functional Principal Component Analysis for Mixed-Type mHealth Data: An Application to Mood Disorders
Debangan Dey, Rahul Ghosal, Kathleen Merikangas +1
Modern mobile health (mHealth) assessment combines self-reported measures of participants' health experiences with passively collected health behavior data throughout the day. Thes…
Functional Principal Component Analysis for Continuous non-Gaussian, Truncated, and Discrete Functional Data
Debangan Dey, Rahul Ghosal, Kathleen Merikangas +1
Mobile health studies often collect multiple within-day self-reported assessments of participants' behavior and well-being on different scales such as physical activity (continuous…
Graph-constrained Analysis for Multivariate Functional Data
Debangan Dey, Sudipto Banerjee, Martin Lindquist +1
Functional Gaussian graphical models (GGM) used for analyzing multivariate functional data customarily estimate an unknown graphical model representing the conditional relationship…