J. P. Acosta, S. W. Park, D. Stewart, E. A. Lozano-Carvazos, S. L. Webb, Toryn L. J. Schafer (2026). Applying machine learning to interpolate movement trajectories of desert bighorn sheep. Environmental and Ecological Statistics, https://doi.org/10.1007/s10651-026-00713-w.

Rachael Ren, Mevin B. Hooten, Toryn L. J. Schafer, Nicholas M. Calzada, Benjamin W. Hoose, Jamie N. Womble, Scott Gende (2026). A multi-stage Bayesian approach to fit spatial point process models. Spatial Statistics, https://doi.org/10.1016/j.spasta.2026.100975.

Haoxuan Wu, Toryn L. J. Schafer, David S. Matteson (2024). Trend and variance adaptive Bayesian changepoint analysis and local outlier scoring. Journal of Business & Economic Statistics, pp. 1–21, https://doi.org/10.1080/07350015.2024.2362269.

Toryn L. J. Schafer, David S. Matteson (2024). Locally adaptive shrinkage priors for trends and breaks in count time series. Technometrics, https://doi.org/10.1080/00401706.2024.2407316.

Haoxuan Wu, Toryn L. J. Schafer, Sean Ryan, David S. Matteson (2024). Drift vs Shift: decoupling trends and changepoint analysis. Technometrics, pp. 1–16, https://doi.org/10.1080/00401706.2024.2365730.

Olukunle O. Owolabi, Toryn L. J. Schafer, G. E. Smits, Sanhita Sengupta, Sean Ryan, Lan Wang, David S. Matteson, Mila Getmansky Sherman, Deborah A. Sunter (2023). Role of variable renewable energy penetration on electricity price and its volatility across independent system operators in the United States. Data Science in Science, https://doi.org/10.1080/26941899.2022.2158145.

Jay A. VonBank, Stephanie A. Cunningham, Toryn L. J. Schafer, Mitch D. Weegman, Paul T. Link, Christopher K. Wikle, Kevin J. Kraai, Daniel P. Collins, Bart M. Ballard (2023). Joint use of location and acceleration data to quantify habitat use transitions in arctic-nesting geese. Scientific Reports, (13), pp. 2132, https://doi.org/10.1038/s41598-023-28937-x.

Matthew Davidow, Toryn L. J. Schafer, Cory Merow, Judy P. Che-Castaldo, Marie-Christine Duker, Mei-Ling E. Feng, David S. Matteson (2023). Clustering future scenarios based on predicted range maps. Methods in Ecology and Evolution, (14), pp. 1346–1360, https://doi.org/10.1111/2041-210X.14080.

Stephanie A. Cunningham, Toryn L. J. Schafer, Christopher K. Wikle, Bart M. Ballard, Jay A. VonBank, Stuart Bearhop, Geoff M. Hilton, Alyn J. Walsh, Larry R. Griffin, Anthony D. Fox, Mitch D. Weegman (2022). Time-varying effects of local weather on behavior and probability of breeding deferral in two Arctic-nesting goose populations. Oecologia, (201), pp. 369–383, https://doi.org/10.1007/s00442-022-05300-x.

Alexander R. Schindler, Stephanie A. Cunningham, Toryn L. J. Schafer, Emily A. Sinnott, Sarah J. Clements, Frances M. DiDonato, Alisha R. Mosloff, Clay Walters, Amy A. Shipley, Mitch D. Weegman, Qing Zhao (2022). 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. Scientific Reports, (12), pp. 20289, https://doi.org/10.1038/s41598-022-23603-0.

Toryn L. J. Schafer, Christopher K. Wikle, Mevin B. Hooten (2022). Bayesian inverse reinforcement learning for collective movement. The Annals of Applied Statistics, (16), pp. 999–1013, https://doi.org/10.1214/21-AOAS1529.

Mei-Ling E. Feng, Olukunle O. Owolabi, Toryn L. J. Schafer, Sanhita Sengupta, Lan Wang, David S. Matteson, Judy P. Che-Castaldo, Deborah A. Sunter (2022). Analysis of animal-related electric outages using species distribution models and community science data. Environmental Research: Ecology, (1), pp. 011004, https://doi.org/10.1088/2752-664X/ac7eb5.

Erin M. Schliep, Toryn L. J. Schafer, Matthew Hawkey (2021). Distributed lag models to identify the cumulative effects of training and recovery in athletes using multivariate ordinal wellness data. Journal of Quantitative Analysis in Sports, (17), pp. 241–254, https://doi.org/10.1515/jqas-2020-0051.

Judy P. Che-Castaldo, Remi Cousin, Stefani Daryanto, Grace Deng, Mei-Ling E. Feng, Rajesh K. Gupta, Dezhi Hong, Ryan M. McGranaghan, Olukunle O. Owolabi, Tianyi Qu, Wei Ren, Toryn L. J. Schafer, Ashutosh Sharma, Chaopeng Shen, Mila Getmansky Sherman, Deborah A. Sunter, Lan Wang, David S. Matteson (2021). Critical Risk Indicators (CRIs) for the electric power grid: a survey and discussion of interconnected effects. Environment Systems and Decisions, https://doi.org/10.1007/s10669-021-09822-2.

Toryn L. J. Schafer, Christopher K. Wikle, Bart M. Ballard, Jay A. VonBank, Mitch D. Weegman (2020). Bayesian Markov model with Polya-Gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications. Journal of Agricultural, Biological and Environmental Statistics, (25), pp. 365–382, https://doi.org/10.1007/s13253-020-00399-y.

Toryn L. J. Schafer, Christopher K. Wikle (2019). Alternative learning strategies for collective animal movement. JSM Proceedings, Statistical Computing Section.

Toryn L. J. Schafer, Stewart W. Breck, Sharon Baruch-Mordo, David L. Lewis, Kenneth R. Wilson, Julie S. Mao, Thomas L. Day (2018). American black bear den-site selection and characteristics in an urban environment. Ursus, (29), pp. 25–31, https://doi.org/10.2192/URSUS-D-17-00004.2.