7 papers
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…
Improving ecological inference and uncertainty quantification from camera trap data through the fusion of AI confidences and manual annotations
Adira Cohen, Erin M. Schliep, Roland Kays +2
Camera traps have become an important tool in ecological research, enabling large-scale, noninvasive monitoring of wildlife populations and behavior. By automatically recording ani…
Accounting for variable detection functions in temporal abundance modeling via transfer learning
Kevin M. Collins, Erin M. Schliep, Tyler Wagner +1
Relative abundance, measured as the number of animals caught per unit of sampling effort (CPUE), is commonly used to monitor fish and wildlife populations, largely because sampling…
Spatial causal inference in the presence of preferential sampling to study the impacts of marine protected areas
Dongjae Son, Brian J. Reich, Erin M. Schliep +2
Marine Protected Areas (MPAs) have been established globally to conserve marine resources. Given their maintenance costs and impact on commercial fishing, it is critical to evaluat…
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…
Expected Points Above Average: A Novel NBA Player Metric Based on Bayesian Hierarchical Modeling
Benjamin Williams, Erin M. Schliep, Bailey Fosdick +1
In this paper, we propose two novel basketball metrics: ``expected points'' for team-based comparisons and ``expected points above average (EPAA)'' as a player-evaluation tool. Est…