1 citations · 1 across the 6 of their papers we have counts for
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Divide-and-Conquer Neural Bayes Estimation for Spatial and Spatiotemporal Point Process Models
Bokgyeong Kang, Andrew Zammit-Mangion, Erin M. Schliep +1
Spatial and spatiotemporal point process models are widely used to analyze event data across many scientific disciplines, but likelihood-based Bayesian inference is often computati…
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…
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…