6 papers
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…
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…
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…
Prior Smoothing for Multivariate Disease Mapping Models
Garazi Retegui, MarÃa 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…
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…
Joint space-time modelling for upper daily maximum and minimum temperature record-breaking
Jorge Castillo-Mateo, Zeus Gracia-Tabuenca, Jesús AsÃn +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…