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Aaron Rumack
Aaron Rumack
Verified email at andrew.cmu.edu
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Cited by
Year
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
1682022
Interactome INSIDER: a structural interactome browser for genomic studies
MJ Meyer, JF Beltrán, S Liang, R Fragoza, A Rumack, J Liang, X Wei, ...
Nature methods 15 (2), 107-114, 2018
1452018
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Medrxiv, 2021.02. 03.21250974, 2021
902021
A free-boundary model of a motile cell explains turning behavior
M Nickaeen, IL Novak, S Pulford, A Rumack, J Brandon, BM Slepchenko, ...
PLoS computational biology 13 (11), e1005862, 2017
542017
An open repository of real-time COVID-19 indicators
A Reinhart, L Brooks, M Jahja, A Rumack, J Tang, S Agrawal, W Al Saeed, ...
Proceedings of the National Academy of Sciences 118 (51), e2111452118, 2021
482021
Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States
EL Ray, LC Brooks, J Bien, M Biggerstaff, NI Bosse, J Bracher, EY Cramer, ...
International journal of forecasting 39 (3), 1366-1383, 2023
212023
Comparing ensemble approaches for short-term probabilistic COVID-19 forecasts in the US
LC Brooks, EL Ray, J Bien, J Bracher, A Rumack, RJ Tibshirani, NG Reich
International Institute of Forecasters, 2020
202020
Delphi epidata API
DC Farrow, LC Brooks, A Rumack, RJ Tibshirani, R Rosenfeld
The Lancet Infectious Diseases. https://github. com/cmu-delphi/delphi-epidata, 2015
192015
Challenges in training ensembles to forecast COVID-19 cases and deaths in the United States
EL Ray, LC Brooks, J Bien, J Bracher, A Gerding, A Rumack, ...
International Institute of Forecasters, 2021
162021
Wichada La Motte-Kerr, Yeon Jin Lee, Kenneth Lee, Zachary C
A Reinhart, L Brooks, M Jahja, A Rumack, J Tang, S Agrawal, W Al Saeed, ...
medRxiv, 2021
62021
Delphi Epidata API; 2015
DC Farrow, LC Brooks, A Rumack, RJ Tibshirani, R Rosenfeld
URL https://github. com/cmu-delphi/delphi-epidata, 2015
62015
Recalibrating probabilistic forecasts of epidemics
A Rumack, RJ Tibshirani, R Rosenfeld
PLOS Computational Biology 18 (12), e1010771, 2022
42022
Parity calibration
Y Chung, A Rumack, C Gupta
Uncertainty in Artificial Intelligence, 413-423, 2023
12023
Beyond Cases and Deaths: The Benefits of Auxiliary Data Streams In Tracking the COVID-19 Pandemic: An open repository of real-time COVID-19 indicators
A Reinhart, L Brooks, M Jahja, A Rumack, J Tang, S Agrawal, W Al Saeed, ...
Proceedings of the National Academy of Sciences of the United States of …, 2021
12021
Interactome INSIDER: a multi-scale structural interactome browser for genomic studies
MJ Meyer, JF Beltrán, S Liang, R Fragoza, A Rumack, J Liang, X Wei, ...
bioRxiv, 126862, 2017
12017
Correcting for heterogeneity in real-time epidemiological indicators
A Rumack, R Rosenfeld, FW Townes
arXiv preprint arXiv:2309.16546, 2023
2023
Modeling Epidemiological Time Series
A Rumack
Carnegie Mellon University, 2023
2023
Nowcasting Reported COVID-19 Hospitalizations Using De-Identified, Aggregated Medical Insurance Claims Data
X Shen, A Rumack, B Wilder, RJ Tibshirani
medRxiv, 2023.12. 22.23300471, 2023
2023
Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States (preprint)
EL Ray, LC Brooks, J Bien, M Biggerstaff, NI Bosse, J Bracher, EY Cramer, ...
2022
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US (preprint)
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, AJC Rivadeneira, ...
2021
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