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20232026
most citedAssessing Marine Mammal Abundance: A Novel Data Fusion

1 citations · 1 across the 6 of their papers we have counts for

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5 papers · 1 filter

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.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

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.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…