An open challenge to advance probabilistic forecasting for dengue epidemics MA Johansson, KM Apfeldorf, S Dobson, J Devita, AL Buczak, B Baugher, ... Proceedings of the National Academy of Sciences 116 (48), 24268-24274, 2019 | 191 | 2019 |
Flexible modeling of epidemics with an empirical Bayes framework LC Brooks, DC Farrow, S Hyun, RJ Tibshirani, R Rosenfeld PLoS computational biology 11 (8), e1004382, 2015 | 143 | 2015 |
Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016 CJ McGowan, M Biggerstaff, M Johansson, KM Apfeldorf, M Ben-Nun, ... Scientific reports 9 (1), 683, 2019 | 114 | 2019 |
Results from the second year of a collaborative effort to forecast influenza seasons in the United States M Biggerstaff, M Johansson, D Alper, LC Brooks, P Chakraborty, ... Epidemics 24, 26-33, 2018 | 111 | 2018 |
Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions LC Brooks, DC Farrow, S Hyun, RJ Tibshirani, R Rosenfeld PLoS computational biology 14 (6), e1006134, 2018 | 80 | 2018 |
Exact post-selection inference for the generalized lasso path S Hyun, M G’sell, RJ Tibshirani | 73* | 2018 |
A human judgment approach to epidemiological forecasting DC Farrow, LC Brooks, S Hyun, RJ Tibshirani, DS Burke, R Rosenfeld PLoS computational biology 13 (3), e1005248, 2017 | 63 | 2017 |
Post-selection inference for changepoint detection algorithms with application to copy number variation data S Hyun, KZ Lin, M G'Sell, RJ Tibshirani Biometrics 77 (3), 1037-1049, 2021 | 60 | 2021 |
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 | 48 | 2021 |
Can auxiliary indicators improve COVID-19 forecasting and hotspot prediction? DJ McDonald, J Bien, A Green, AJ Hu, N DeFries, S Hyun, NL Oliveira, ... Proceedings of the National Academy of Sciences 118 (51), e2111453118, 2021 | 44 | 2021 |
Risk of dengue for tourists and teams during the World Cup 2014 in Brazil WG Van Panhuis, S Hyun, K Blaney, ETA Marques Jr, GE Coelho, ... PLoS neglected tropical diseases 8 (7), e3063, 2014 | 34 | 2014 |
Modeling cell populations measured by flow cytometry with covariates using sparse mixture of regressions S Hyun, MR Cape, F Ribalet, J Bien The annals of applied statistics 17 (1), 357, 2023 | 5 | 2023 |
epiforecast: Tools for forecasting semi-regular seasonal epidemic curves and similar time series LC Brooks, DC Farrow, S Hyun, RJ Tibshirani, R Rosenfeld GitHub repository, 2015 | 5 | 2015 |
Ocean mover’s distance: using optimal transport for analysing oceanographic data S Hyun, A Mishra, CL Follett, B Jonsson, G Kulk, G Forget, MF Racault, ... Proceedings of the Royal Society A 478 (2262), 20210875, 2022 | 3 | 2022 |
Identification of microbial metabolic functional guilds from large genomic datasets R Reynolds, S Hyun, B Tully, J Bien, NM Levine Frontiers in Microbiology 14, 1197329, 2023 | 1 | 2023 |
Determining ecological provinces from optical cytometric data in the North Pacific Ocean MR Cape, F Ribalet, J Bien, S Hyun, EV Armbrust Ocean Sciences Meeting 2020, 2020 | 1 | 2020 |
Using Probability Density Functions to Evaluate Models (PDFEM, v1. 0) to compare a biogeochemical model with satellite-derived chlorophyll BF Jönsson, CL Follett, J Bien, S Dutkiewicz, S Hyun, G Kulk, GL Forget, ... Geoscientific Model Development 16 (16), 4639-4657, 2023 | | 2023 |
A flexible Bayesian approach to estimating size-structured matrix population models JP Mattern, K Glauninger, GL Britten, J Casey, S Hyun, Z Wu, EV Armbrust, ... bioRxiv, 2021.07. 16.452528, 2021 | | 2021 |
Supporting Information for Post-Selection Inference for Changepoint Detection Algorithms with Application to Copy Number Variation Data S Hyun, KZ Lin, M G’Sell, RJ Tibshirani | | |
Identifying misconceptions of introductory data science students using a think-aloud protocol P Burckhardt, P Elliott, C Evans, S Hyun, K Lin, A Luby, C Peter, JO Makris, ... | | |