8 citations · 15 across the 11 of their papers we have counts for
11 papers
A multi-stage Bayesian approach to fit spatial point process models
Rachael Ren, Mevin B. Hooten, Toryn L. J. Schafer +4
Spatial point process (SPP) models are commonly used to analyze point pattern data in many fields, including presence-only data in ecology. Existing exact Bayesian methods for fitt…
Locally Adaptive Shrinkage Priors for Trends and Breaks in Count Time Series
Toryn L. J. Schafer, David S. Matteson
Non-stationary count time series characterized by features such as abrupt changes and fluctuations about the trend arise in many scientific domains including biophysics, ecology, e…
Drift vs Shift: Decoupling Trends and Changepoint Analysis
Haoxuan Wu, Toryn L. J. Schafer, Sean Ryan +1
We introduce a new approach for decoupling trends (drift) and changepoints (shifts) in time series. Our locally adaptive model-based approach for robustly decoupling combines Bayes…
Analysis of animal-related electric outages using species distribution models and community science data
Mei-Ling E. Feng, Olukunle O. Owolabi, Toryn L. J. Schafer +5
Animal-related outages (AROs) are a prevalent form of outages in electrical distribution systems. Animal-infrastructure interactions vary across focal species and regions, underlin…
Role of Variable Renewable Energy Penetration on Electricity Price and its Volatility Across Independent System Operators in the United States
Olukunle O. Owolabi, Toryn L. J. Schafer, Georgia E. Smits +6
The U.S. electrical grid has undergone substantial transformation with increased penetration of wind and solar -- forms of variable renewable energy (VRE). Despite the benefits of…
Critical Risk Indicators (CRIs) for the electric power grid: A survey and discussion of interconnected effects
Judy P. Che-Castaldo, Rémi Cousin, Stefani Daryanto +15
The electric power grid is a critical societal resource connecting multiple infrastructural domains such as agriculture, transportation, and manufacturing. The electrical grid as a…
Clustering Future Scenarios Based on Predicted Range Maps
Matthew Davidow, Cory Merow, Judy Che-Castaldo +4
Predictions of biodiversity trajectories under climate change are crucial in order to act effectively in maintaining the diversity of species. In many ecological applications, futu…
Trend and Variance Adaptive Bayesian Changepoint Analysis & Local Outlier Scoring
Haoxuan Wu, Toryn L. J. Schafer, David S. Matteson
We adaptively estimate both changepoints and local outlier processes in a Bayesian dynamic linear model with global-local shrinkage priors in a novel model we call Adaptive Bayesia…
Bayesian Inverse Reinforcement Learning for Collective Animal Movement
Toryn L. J. Schafer, Christopher K. Wikle, Mevin B. Hooten
Agent-based methods allow for defining simple rules that generate complex group behaviors. The governing rules of such models are typically set a priori and parameters are tuned fr…
Distributed lag models to identify the cumulative effects of training and recovery in athletes using multivariate ordinal wellness data
Erin M. Schliep, Toryn L. J. Schafer, Matthew Hawkey
Subjective wellness data can provide important information on the well-being of athletes and be used to maximize player performance and detect and prevent against injury. Wellness…
A Bayesian Markov model with Pólya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications
Toryn L. J. Schafer, Christopher K. Wikle, Jay A. VonBank +2
The use of accelerometers in wildlife tracking provides a fine-scale data source for understanding animal behavior and decision-making. Current methods in movement ecology focus on…