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A multi-stage Bayesian approach to fit spatial point process models
Applying machine learning to interpolate movement trajectories of desert bighorn sheep
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 …
Locally adaptive shrinkage priors for trends and breaks in count time series
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 …
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 …
Joint use of location and acceleration data to quantify habitat use transitions in arctic-nesting geese
Role of variable renewable energy penetration on electricity price and its volatility across independent system operators in the United States
The U.S. electrical grid has undergone substantial transformation with increased penetration of wind and solar — …
Analysis of animal-related electric outages using species distribution models and community science data
Bayesian inverse reinforcement learning for collective movement
Agent-based methods allow for defining simple rules that generate complex group behaviors. Instead of making simplifying …