424 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Oceanic and Atmospheric AdministrationUS7 papers
- NOAA National Marine Fisheries Service Alaska Fisheries Science CenterUS5 papers
- Colorado State UniversityUS3 papers
- United States Geological SurveyUS3 papers
- CSIRO Oceans and AtmosphereAU2 papers
- NOAA National Marine Fisheries Service Southwest Fisheries Science CenterUS2 papers
- Oregon Department of Fish and WildlifeUS2 papers
- Scripps Institution of OceanographyUS2 papers
- University of St AndrewsGB2 papers
- Andrews UniversityUS1 paper
- Australian Institute of Marine ScienceAU1 paper
- Bielefeld UniversityDE1 paper
13 papers
Leveraging Sparsity to Improve No-U-Turn Sampling Efficiency for Hierarchical Bayesian Models
Cole C. Monnahan, Kasper Kristensen, James T. Thorson +1
Analysts routinely use Bayesian hierarchical models to understand natural processes. The no-U-turn sampler (NUTS) is the most widely used algorithm to sample high-dimensional, cont…
Quantitative processing of broadband data as implemented in a scientific splitbeam echosounder
Lars Nonboe Andersen, Dezhang Chu, Harald Heimvoll +3
The use of quantitative broadband echosounders for biological studies and surveys offers considerable advantages over narrowband echosounders. These include improved spectral-based…
A Linear Mixed Model Formulation for Spatio-Temporal Random Processes with Computational Advances for the Separable and Product-Sum Covariances
Michael Dumelle, Jay M. Ver Hoef, Claudio Fuentes +1
We describe spatio-temporal random processes using linear mixed models. We show how many commonly used models can be viewed as special cases of this general framework and pay close…
Uncovering ecological state dynamics with hidden Markov models
Brett T. McClintock, Roland Langrock, Olivier Gimenez +4
Ecological systems can often be characterised by changes among a finite set of underlying states pertaining to individuals, populations, communities, or entire ecosystems through t…
momentuHMM: R package for generalized hidden Markov models of animal movement
Brett T. McClintock, Theo Michelot
Discrete-time hidden Markov models (HMMs) have become an immensely popular tool for inferring latent animal behaviors from telemetry data. Here we introduce an open-source R packag…
Imputation Approaches for Animal Movement Modeling
Henry R. Scharf, Mevin B. Hooten, Devin S. Johnson
The analysis of telemetry data is common in animal ecological studies. While the collection of telemetry data for individual animals has improved dramatically, the methods to prope…
Process convolution approaches for modeling interacting trajectories
Henry R. Scharf, Mevin B. Hooten, Devin S. Johnson +1
Gaussian processes are a fundamental statistical tool used in a wide range of applications. In the spatio-temporal setting, several families of covariance functions exist to accomm…
Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales
Y. Yuan, F. E. Bachl, F. Lindgren +5
Distance sampling is a widely used method for estimating wildlife population abundance. The fact that conventional distance sampling methods are partly design-based constrains the…
Underwater Fish Tracking for Moving Cameras based on Deformable Multiple Kernels
Meng-Che Chuang, Jenq-Neng Hwang, Jian-Hui Ye +2
Fishery surveys that call for the use of single or multiple underwater cameras have been an emerging technology as a non-extractive mean to estimate the abundance of fish stocks. T…
Basis Function Models for Animal Movement
Mevin B. Hooten, Devin S. Johnson
Advances in satellite-based data collection techniques have served as a catalyst for new statistical methodology to analyze these data. In wildlife ecological studies, satellite-ba…
Global evidence for non-random dynamics in fish recruitment
Charles T. Perretti, Stephan B. Munch, Michael J. Fogarty +1
Understanding what controls apparently random fluctuations in fish recruitment is a major challenge in fisheries science. Our current inability to anticipate recruitment failures h…
Extinction risk and conservation of the world's sharks and rays
Nicholas K. Dulvy, Sarah L. Fowler, John A. Musick +20
The rapid expansion of human activities threatens ocean-wide biodiversity loss. Numerous marine animal populations have declined, yet it remains unclear whether these trends are sy…
Reply to Hartig et al. [arXiv:1305.3544]: The "true model" myth
Charles T. Perretti, Stephan B. Munch, George Sugihara
We have shown that commonly used model-fitting methods fail when the underlying ecological system is chaotic. Importantly, Hartig & Dormann [arXiv:1305.3544] suggest an alternative…