2

Drift vs Shift: Decoupling Trends and Changepoint Analysis
We introduce a new approach for decoupling trends (drift) and changepoints (shifts) in time series. Our locally adaptive model-based …
Trend and Variance Adaptive Bayesian Changepoint Analysis and Local Outlier Scoring
We adaptively estimate both changepoints and local outlier processes in a Bayesian dynamic linear model with global-local shrinkage …
Clustering future scenarios based on predicted range maps
Abstract Predictions of biodiversity trajectories under climate change are crucial in order to act effectively in maintaining the …
Joint use of location and acceleration data reveals influences on transitions among habitats in wintering birds
Quantifying relationships between animal behavior and habitat use is essential to understanding animal decision-making. High-resolution …
Time-varying effects of local weather on behavior and probability of breeding deferral in two Arctic-nesting goose populations
Arctic-nesting geese face energetic challenges during spring migration, including ecological barriers and weather conditions (e.g., …
Analysis of animal-related electric outages using species distribution models and community science data
Animal-related outages (AROs) are a prevalent form of outages in electrical distribution systems. Animal-infrastructure interactions …
Preprint PDF
Analysis of animal-related electric outages using species distribution models and community science data
Animal-related outages (AROs) are a prevalent form of outages in electrical distribution systems. Animal-infrastructure interactions …
Bayesian Inverse Reinforcement Learning for Collective Animal Movement
Agent-based methods allow for defining simple rules that generate complex group behaviors. The governing rules of such models are …
Preprint PDF
Clustering Future Scenarios Based on Predicted Range Maps
Predictions of biodiversity trajectories under climate change are crucial in order to act effectively in maintaining the diversity of …
Preprint
Joint analysis of structured and semi-structured community science data improves precision of relative abundance but not trends in birds
Estimating absolute and relative abundance of wildlife populations is critical to addressing ecological questions and conservation …