Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Cramer, Estee Y"'
Autor:
Ray, Evan L., Brooks, Logan C., Bien, Jacob, Biggerstaff, Matthew, Bosse, Nikos I., Bracher, Johannes, Cramer, Estee Y., Funk, Sebastian, Gerding, Aaron, Johansson, Michael A., Rumack, Aaron, Wang, Yijin, Zorn, Martha, Tibshirani, Ryan J., Reich, Nicholas G.
The U.S. COVID-19 Forecast Hub aggregates forecasts of the short-term burden of COVID-19 in the United States from many contributing teams. We study methods for building an ensemble that combines forecasts from these teams. These experiments have inf
Externí odkaz:
http://arxiv.org/abs/2201.12387
Autor:
Lopez, Velma K.1 (AUTHOR) oko8@cdc.gov, Cramer, Estee Y.2 (AUTHOR), Pagano, Robert3 (AUTHOR), Drake, John M.4 (AUTHOR), O'Dea, Eamon B.4 (AUTHOR), Adee, Madeline5 (AUTHOR), Ayer, Turgay6 (AUTHOR), Chhatwal, Jagpreet7 (AUTHOR), Dalgic, Ozden O.8 (AUTHOR), Ladd, Mary A.5 (AUTHOR), Linas, Benjamin P.9 (AUTHOR), Mueller, Peter P.7 (AUTHOR), Xiao, Jade6 (AUTHOR), Bracher, Johannes10 (AUTHOR), Castro Rivadeneira, Alvaro J.2 (AUTHOR), Gerding, Aaron2 (AUTHOR), Gneiting, Tilmann11 (AUTHOR), Huang, Yuxin2 (AUTHOR), Jayawardena, Dasuni2 (AUTHOR), Kanji, Abdul H.2 (AUTHOR)
Publikováno v:
PLoS Computational Biology. 5/6/2024, Vol. 20 Issue 5, p1-25. 25p.
Autor:
Cramer, Estee Y.1 (AUTHOR), Nguyen, Xuan Quang2 (AUTHOR), Hertz, Jeffrey C.3 (AUTHOR), Nguyen, Do Van2 (AUTHOR), Quang, Huynh Hong2 (AUTHOR), Mendenhall, Ian H.4 (AUTHOR), Lover, Andrew A.1 (AUTHOR) alover@umass.edu
Publikováno v:
PLoS Neglected Tropical Diseases. 4/29/2024, Vol. 18 Issue 4, p1-20. 20p.
Publikováno v:
In Epidemics December 2023 45
Autor:
Ray, Evan L., Brooks, Logan C., Bien, Jacob, Biggerstaff, Matthew, Bosse, Nikos I., Bracher, Johannes, Cramer, Estee Y., Funk, Sebastian, Gerding, Aaron, Johansson, Michael A., Rumack, Aaron, Wang, Yijin, Zorn, Martha, Tibshirani, Ryan J., Reich, Nicholas G.
Publikováno v:
In International Journal of Forecasting July-September 2023 39(3):1366-1383
Akademický článek
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Akademický článek
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Autor:
Cramer, Estee Y, Huang, Yuxin, Wang, Yijin, Ray, Evan L, Cornell, Matthew, Bracher, Johannes, Brennen, Andrea, Rivadeneira, Alvaro J Castro, Gerding, Aaron, House, Katie, Jayawardena, Dasuni, Kanji, Abdul Hannan, Khandelwal, Ayush, Le, Khoa, Mody, Vidhi, Mody, Vrushti, Niemi, Jarad, Stark, Ariane, Shah, Apurv, Wattanchit, Nutcha, Zorn, Martha W, Reich, Nicholas G, US COVID-19 Forecast Hub Consortium
Publikováno v:
Scientific data, vol 9, iss 1
Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb291cef8c4b09159fad82b1ea5b0a45
https://escholarship.org/uc/item/73p2m7z2
https://escholarship.org/uc/item/73p2m7z2
Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
Autor:
Cramer, Estee Y, Ray, Evan L, Lopez, Velma K, Bracher, Johannes, Brennen, Andrea, Castro Rivadeneira, Alvaro J, Gerding, Aaron, Gneiting, Tilmann, House, Katie H, Huang, Yuxin, Jayawardena, Dasuni, Kanji, Abdul H, Khandelwal, Ayush, Le, Khoa, Mühlemann, Anja, Niemi, Jarad, Shah, Apurv, Stark, Ariane, Wang, Yijin, Wattanachit, Nutcha, Zorn, Martha W, Gu, Youyang, Jain, Sansiddh, Bannur, Nayana, Deva, Ayush, Kulkarni, Mihir, Merugu, Srujana, Raval, Alpan, Shingi, Siddhant, Tiwari, Avtansh, White, Jerome, Abernethy, Neil F, Woody, Spencer, Dahan, Maytal, Fox, Spencer, Gaither, Kelly, Lachmann, Michael, Meyers, Lauren Ancel, Scott, James G, Tec, Mauricio, Srivastava, Ajitesh, George, Glover E, Cegan, Jeffrey C, Dettwiller, Ian D, England, William P, Farthing, Matthew W, Hunter, Robert H, Lafferty, Brandon, Linkov, Igor, Mayo, Michael L, Parno, Matthew D, Rowland, Michael A, Trump, Benjamin D, Zhang-James, Yanli, Chen, Samuel, Faraone, Stephen V, Hess, Jonathan, Morley, Christopher P, Salekin, Asif, Wang, Dongliang, Corsetti, Sabrina M, Baer, Thomas M, Eisenberg, Marisa C, Falb, Karl, Huang, Yitao, Martin, Emily T, McCauley, Ella, Myers, Robert L, Schwarz, Tom, Sheldon, Daniel, Gibson, Graham Casey, Yu, Rose, Gao, Liyao, Ma, Yian, Wu, Dongxia, Yan, Xifeng, Jin, Xiaoyong, Wang, Yu-Xiang, Chen, YangQuan, Guo, Lihong, Zhao, Yanting, Gu, Quanquan, Chen, Jinghui, Wang, Lingxiao, Xu, Pan, Zhang, Weitong, Zou, Difan, Biegel, Hannah, Lega, Joceline, McConnell, Steve, Nagraj, VP, Guertin, Stephanie L, Hulme-Lowe, Christopher, Turner, Stephen D, Shi, Yunfeng, Ban, Xuegang, Walraven, Robert, Hong, Qi-Jun, Kong, Stanley, van de Walle, Axel
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 15
Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::331f4bf9e003fcfd485d95be5a5ad402
https://escholarship.org/uc/item/8z24j3h6
https://escholarship.org/uc/item/8z24j3h6