Toryn L. J. Schafer

Latest

• 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
• Locally adaptive shrinkage priors for trends and breaks in count time series
• Trend and variance adaptive Bayesian changepoint analysis and local outlier scoring
• Clustering future scenarios based on predicted range maps
• 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
• Analysis of animal-related electric outages using species distribution models and community science data
• Bayesian inverse reinforcement learning for collective movement
• Joint analysis of structured survey and citizen science data improves precision of bird population trends and the extent of improvement depends on life history strategy
• Time-varying effects of local weather on behavior and probability of breeding deferral in two Arctic-nesting goose populations
• Critical Risk Indicators (CRIs) for the electric power grid: a survey and discussion of interconnected effects
• Distributed lag models to identify the cumulative effects of training and recovery in athletes using multivariate ordinal wellness data
• Bayesian Markov model with Polya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications
• Alternative learning strategies for collective animal movement
• American black bear den-site selection and characteristics in an urban environment