activity
20092025
most citedSpatial analysis of wave direction data using wrapped Gaussian processes

62 citations · 297 across the 33 of their papers we have counts for

collaborators

33 papers

stat.ME2025★ 2 cited

On prior smoothing with discrete spatial data in the context of disease mapping

Garazi Retegui, Alan E. Gelfand, Jaione Etxeberria +1

Disease mapping attempts to explain observed health event counts across areal units, typically using Markov random field models. These models rely on spatial priors to account for…

stat.AP2024

Joint Spatiotemporal Modeling of Zooplankton and Whale Abundance in a Dynamic Marine Environment

Bokgyeong Kang, Erin M. Schliep, Alan E. Gelfand +6

North Atlantic right whales are an endangered species; their entire population numbers approximately 372 individuals, and they are subject to major anthropogenic threats. They feed…

stat.AP2024

Analyzing whale calling through Hawkes process modeling

Bokgyeong Kang, Erin M. Schliep, Alan E. Gelfand +3

Sound is assumed to be the primary modality of communication among marine mammal species. Analyzing acoustic recordings helps to understand the function of the acoustic signals as…

stat.AP2023★ 1 cited

Assessing Marine Mammal Abundance: A Novel Data Fusion

Erin M. Schliep, Alan E. Gelfand, Christopher W. Clark +5

Marine mammals are increasingly vulnerable to human disturbance and climate change. Their diving behavior leads to limited visual access during data collection, making studying the…

stat.ME2023★ 2 cited

Bayesian joint quantile autoregression

Jorge Castillo-Mateo, Alan E. Gelfand, Jesús Asín +2

Quantile regression continues to increase in usage, providing a useful alternative to customary mean regression. Primary implementation takes the form of so-called multiple quantil…

stat.AP2022

Joint Multivariate and Functional Modeling for Plant Traits and Reflectances

Philip A. White, Michael F. Christensen, Henry Frye +2

The investigation of leaf-level traits in response to varying environmental conditions has immense importance for understanding plant ecology. Remote sensing technology enables mea…