Research
2024
Smooth Multi-Period Forecasting with Application to Prediction of COVID-19 Cases
Tuzhilina, Hastie, McDonald, Tay, Tibshirani
Journal of Computational and Graphical Statistics, 2024
2023
Evaluation of FluSight influenza forecasting in the 2021-22 and 2022-23 seasons with a new target laboratory-confirmed influenza hospitalizations
Mathis, Webber, León, Murray, Sun, White, Brooks, Green, Hu, McDonald, Rosenfeld, Shemetov, Tibshirani, et al.
medRxiv, 2023
2023
RtEstim: Effective reproduction number estimation with trend filtering
Liu, Cai, Gustafson, McDonald
medRxiv, 2023
2023
Computationally Assisted Quality Control for Public Health Data Streams
Joshi, Mazaitis, Rosenfeld, Wilder
International Joint Conference on Artificial Intelligence, 2023
2023
Nowcasting Reported COVID-19 Hospitalizations Using De-Identified, Aggregated Medical Insurance Claims Data
Shen, Rumack, Wilder, Tibshirani
medRxiv, 2023
2023
Frequentist Inference for Semi-mechanistic Epidemic Models with Interventions
Bong, Ventura, Wasserman
arXiv, 2023
2022
Comparing Trained and Untrained Probabilistic Ensemble Forecasts of COVID-19 Cases and Deaths in the United States
Ray, Brooks, Bien, Biggerstaff, Bosse, Bracher, Cramer, Funk, Gerding, Johansson, Rumack, Wang, Zorn, Tibshirani, Reich
International Journal of Forecasting, 2022
2022
Real-Time Estimation of COVID-19 Infections: Deconvolution and Sensor Fusion
Jahja, Chin, Tibshirani
Statistical Science, 2022
2022
Collaborative Hubs: Making the Most of Predictive Epidemic Modeling
Reich, Lessler, Funk, Viboud, Vespignani, Tibshirani, Shea, Schienle, Runge, Rosenfeld, Ray, Niehus, Johnson, Johansson, Hochheiser, Gardner, Bracher, Borchering, Biggerstaff
American Journal of Public Health, 2022
2022
Recalibrating Probabilistic Forecasts of Epidemics
Rumack, Tibshirani, Rosenfeld
PLOS Computational Biology, 2022
2021
Epidemic Tracking and Forecasting: Lessons Learned from a Tumultuous Year
Rosenfeld, Tibshirani
Proceedings of the National Academy of Sciences, 2021
2021
An Open Repository of Real-Time COVID-19 Indicators
Reinhart, Brooks, Jahja, Rumack, Tang, Agrawal, Al Saeed, Arnold, Basu, Bien, Cabrera, Chin, Chua, Clark, Colquhoun, DeFries, Farrow, Forlizzi, Grabman, Gratzl, Green, Haff, Han, Harwood, Hu, Hyde, Hyun, Joshi, Kim, Kuznetsov, La Motte-Kerr, YJ Lee, K Lee, Lipton, Liu, Mackey, Mazaitis, McDonald, McGuinness, Narasimhan, O’Brien, Oliveira, Patil, Perer, Politsch, Rajanala, Rucker, Scott, Shah, Shankar, Sharpnack, Shemetov, Simon, Smith, Srivastava, Tan, R Tibshirani, Tuzhilina, Van Nortwick, Ventura, Wasserman, Weaver, Weiss, Whitman, Williams, Rosenfeld, RJ Tibshirani
Proceedings of the National Academy of Sciences, 2021
2021
Can Auxiliary Indicators Improve COVID-19 Forecasting and Hotspot Prediction?
McDonald, Bien, Green, Hu, DeFries, Hyun, Oliveira, Sharpnack, Tang, Tibshirani, Ventura, Wasserman, Tibshirani
Proceedings of the National Academy of Sciences, 2021
2021
The US COVID-19 Trends and Impact Survey: Continuous Real-Time Measurement of COVID-19 Symptoms, Risks, Protective Behaviors, Testing, and Vaccination
Salomon, Reinhart, Bilinski, Chua, La Motte-Kerr, Rönn, Reitsma, Morris, LaRocca, Farag, Kreuter, Rosenfeld, Tibshirani
Proceedings of the National Academy of Sciences, 2021
2019
Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights
Jahja, Farrow, Rosenfeld, Tibshirani
Neural Information Processing Systems, 2019
2018
Nonmechanistic Forecasts of Seasonal Influenza with Iterative One-Week-Ahead Distributions
Brooks, Farrow, Hyun, Tibshirani, Rosenfeld
PLOS Computational Biology, 2018
2017
A Human Judgment Approach to Epidemiological Forecasting
Farrow, Brooks, Hyun, Tibshirani, Burke, Rosenfeld
PLOS Computational Biology, 2017
2015
Flexible Modeling of Epidemics with an Empirical Bayes Framework
Brooks, Farrow, Hyun, Tibshirani, Rosenfeld
PLOS Computational Biology, 2015
2012
A Proposal for Standardized Evaluation of Epidemiological Models
Rosenfeld, Grefenstette, Burke
White paper, 2012