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 | 249 | 2022 |
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 | 92 | 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 | 63 | 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 | 50 | 2021 |
Bootstrapping exchangeable random graphs A Green, CR Shalizi Electronic Journal of Statistics 16 (1), 1058-1095, 2022 | 40 | 2022 |
Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations SM Mathis, AE Webber, TM León, EL Murray, M Sun, LA White, LC Brooks, ... Nature communications 15 (1), 6289, 2024 | 18 | 2024 |
Minimax optimal regression over sobolev spaces via laplacian regularization on neighborhood graphs A Green, S Balakrishnan, R Tibshirani International Conference on Artificial Intelligence and Statistics, 2602-2610, 2021 | 18 | 2021 |
Minimax optimal regression over Sobolev spaces via Laplacian Eigenmaps on neighbourhood graphs A Green, S Balakrishnan, RJ Tibshirani Information and Inference: A Journal of the IMA 12 (3), 2423-2502, 2023 | 13 | 2023 |
Illustrating, quantifying, and correcting for bias in post-hoc analysis of gene-based rare variant tests of association KE Grinde, J Arbet, A Green, M O'Connell, A Valcarcel, J Westra, N Tintle Frontiers in genetics 8, 117, 2017 | 9 | 2017 |
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 | 8 | 2021 |
The voronoigram: Minimax estimation of bounded variation functions from scattered data AJ Hu, A Green, RJ Tibshirani arXiv preprint arXiv:2212.14514, 2022 | 7 | 2022 |
Maximum mean discrepancy meets neural networks: The radon-kolmogorov-smirnov test S Paik, M Celentano, A Green, RJ Tibshirani arXiv preprint arXiv:2309.02422, 2023 | 5 | 2023 |
Statistical Guarantees for Spectral Methods on Neighborhood Graphs A Green Carnegie Mellon University,, 2021 | 2 | 2021 |
The High-Dimensional Asymptotics of Principal Component Regression A Green, E Romanov arXiv preprint arXiv:2405.11676, 2024 | 1 | 2024 |
Statistical guarantees for local spectral clustering on random neighborhood graphs A Green, S Balakrishnan, RJ Tibshirani Journal of machine learning research 22 (247), 1-71, 2021 | 1 | 2021 |
Local spectral clustering of density upper level sets A Green, S Balakrishnan, RJ Tibshirani arXiv preprint arXiv:1911.09714, 2019 | 1 | 2019 |
A multistep approach to single nucleotide polymorphism–set analysis: an evaluation of power and type I error of gene-based tests of association after pathway-based association … A Valcarcel, K Grinde, K Cook, A Green, N Tintle BMC proceedings 10, 349-355, 2016 | 1 | 2016 |
Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test S Paik, M Celentano, A Green, RJ Tibshirani | | 2025 |
Two-Sample Testing with a Graph-Based Total Variation Integral Probability Metric A Green, S Balakrishnan, RJ Tibshirani arXiv preprint arXiv:2409.15628, 2024 | | 2024 |
CoCA: Cooperative Component Analysis DY Ding, A Green, MW Sun, R Tibshirani arXiv preprint arXiv:2407.16870, 2024 | | 2024 |