Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ryan Tibshirani"'
Autor:
Frauke Kreuter, Neta Barkay, Alyssa Bilinski, Adrianne Bradford, Samantha Chiu, Roee Eliat, Junchuan Fan, Tal Galili, Daniel Haimovich, Brian Kim, Sarah LaRocca, Yao Li, Katherine Morris, Stanley Presser, Tal Sarig, Joshua A. Salomon, Kathleen Stewart, Elizabeth A. Stuart, Ryan Tibshirani
Publikováno v:
Survey Research Methods, Vol 14, Iss 2 (2020)
This paper describes a partnership between Facebook and academic institutions to create a global COVID-19 symptom survey. The survey is available in 56 languages. A representative sample of Facebook users is invited on a daily basis to report on symp
Externí odkaz:
https://doaj.org/article/d9663bee1f8044b098258e6fca65c65d
Autor:
Willem G van Panhuis, Sangwon Hyun, Kayleigh Blaney, Ernesto T A Marques, Giovanini E Coelho, João Bosco Siqueira, Ryan Tibshirani, Jarbas B da Silva, Roni Rosenfeld
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 8, Iss 7, p e3063 (2014)
This year, Brazil will host about 600,000 foreign visitors during the 2014 FIFA World Cup. The concern of possible dengue transmission during this event has been raised given the high transmission rates reported in the past by this country.We used de
Externí odkaz:
https://doaj.org/article/9004070c7aba463088a54bfe890e1098
Autor:
Ryan Tibshirani, Ronald Rosenfeld
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Publikováno v:
PLoS computational biology. 18(12)
Distributional forecasts are important for a wide variety of applications, including forecasting epidemics. Often, forecasts are miscalibrated, or unreliable in assigning uncertainty to future events. We present a recalibration method that can be app
Publikováno v:
Statist. Sci. 35, no. 4 (2020), 579-592
In exciting recent work, Bertsimas, King and Mazumder (Ann. Statist. 44 (2016) 813–852) showed that the classical best subset selection problem in regression modeling can be formulated as a mixed integer optimization (MIO) problem. Using recent adv