activity
20172026
most citedSpatial Joint Species Distribution Modeling using Dirichlet Processes

12 citations · 16 across the 10 of their papers we have counts for

collaborators

10 papers

stat.ME2026

Joint Spatial and Temporal Generalized Dissimilarity Mixed Modeling (stGDMM) for Beta Diversity

Philip A. White, Henry A. Frye, Jasper A. Slingsby +3

Generalized dissimilarity models (GDMs) have emerged as a valuable tool for formal statistical analysis of biodiversity. In particular, beta diversity, measured using dissimilarity…

stat.ME2026

Double zero-inflated spatio-temporal modeling of daily precipitation under detection thresholds

Juan Marcen-Gutierrez, Jorge Castillo-Mateo, Alan E. Gelfand +2

Explaining precipitation behavior at daily scale is important for fine scale understanding of the mechanisms driving precipitation. However, this effort is challenging because of t…

stat.ME2026

Analyzing spatial point processes degraded by displacement and imperfect detection

Kevin M. Collins, Erin M. Schliep, Alan E. Gelfand +3

Spatial point processes are a valuable tool for probabilistic modeling to explain location data. However, the data themselves are often observed imperfectly. In order to perform ac…

stat.AP2026

Modeling Animal Communication Using Multivariate Hawkes Processes with Additive Excitation and Multiplicative Inhibition

Bokgyeong Kang, Erin M. Schliep, Alan E. Gelfand +2

Animal acoustic communication often exhibits temporal dependence, with calls triggering or suppressing subsequent calls within and across call types, individuals, or species. While…

stat.ME2026

Prior Smoothing for Multivariate Disease Mapping Models

Garazi Retegui, María Dolores Ugarte, Jaione Etxeberria +1

To date, we have seen the emergence of a large literature on multivariate disease mapping. That is, incidence of (or mortality from) multiple diseases is recorded at the scale of a…

stat.ME2025

Joint space-time modelling for upper daily maximum and minimum temperature record-breaking

Jorge Castillo-Mateo, Zeus Gracia-Tabuenca, Jesús Asín +2

Record-breaking temperature events are now frequently in the news, proffered as evidence of climate change, and often bring significant economic and human impacts. Our previous wor…

stat.AP2024

Markov modeling for a satellite tag data record of whale diving behavior

Joshua Hewitt, Nicola J. Quick, Alan E. Gelfand +1

Cuvier's beaked whales (Ziphius cavirostris) are the deepest diving marine mammal, consistently diving to depths exceeding 1,000m for durations longer than an hour, making them dif…

stat.ME2024★ 3 cited

Spatio-temporal modeling for record-breaking temperature events in Spain

Jorge Castillo-Mateo, Alan E. Gelfand, Zeus Gracia-Tabuenca +2

Record-breaking temperature events are now very frequently in the news, viewed as evidence of climate change. With this as motivation, we undertake the first substantial spatial mo…

stat.ME2022★ 1 cited

Model-based tools for assessing space and time change in daily maximum temperature: an application to the Ebro basin in Spain

Ana C. Cebrián, Jesús Asín, Jorge Castillo-Mateo +2

There is continuing interest in the investigation of change in temperature over space and time. We offer a set of tools to illuminate such change temporally, at desired temporal re…

stat.ME2017★ 12 cited

Spatial Joint Species Distribution Modeling using Dirichlet Processes

Shinichiro Shirota, Alan E. Gelfand, Sudipto Banerjee

Species distribution models usually attempt to explain presence-absence or abundance of a species at a site in terms of the environmental features (socalled abiotic features) prese…