no code implementations • 28 Sep 2023 • Aaron Rumack, Roni Rosenfeld, F. William Townes
We describe the problem of spatial and temporal heterogeneity in these signals derived from these data sources, where spatial and/or temporal biases are present.
1 code implementation • 29 May 2023 • Youngseog Chung, Aaron Rumack, Chirag Gupta
In a sequential regression setting, a decision-maker may be primarily concerned with whether the future observation will increase or decrease compared to the current one, rather than the actual value of the future observation.
no code implementations • 12 Dec 2021 • Aaron Rumack, Ryan J. Tibshirani, Roni Rosenfeld
We apply this recalibration method to the 27 influenza forecasters in the FluSight Network and show that recalibration reliably improves forecast accuracy and calibration.