Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic … T Vos, RM Barber, B Bell, A Bertozzi-Villa, S Biryukov, I Bolliger, ... The lancet 386 (9995), 743-800, 2015 | 7065 | 2015 |
Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of … S Abdalla, F Abd-Allah, MI Abdel Aziz The Lancet, 2015 | 5500 | 2015 |
Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990–2013: quantifying … CJL Murray, RM Barber, KJ Foreman, AA Ozgoren, F Abd-Allah, SF Abera, ... The Lancet 386 (10009), 2145-2191, 2015 | 2353* | 2015 |
Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990 … GBD 2013 Risk Factors Collaborators Lancet (London, England) 386 (10010), 2287, 2015 | 762 | 2015 |
Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990 … L Alexander, HR Anderson, VF Bachman, S Biryukov, M Brauer, ... The Lancet 386 (10010), 2287-2323, 2015 | 80 | 2015 |
SPEW: synthetic populations and ecosystems of the world S Gallagher, LF Richardson, SL Ventura, WF Eddy Journal of Computational and Graphical Statistics 27 (4), 773-784, 2018 | 44 | 2018 |
Surrogate for long-term user experience in recommender systems Y Wang, M Sharma, C Xu, S Badam, Q Sun, L Richardson, L Chung, ... Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 40 | 2022 |
Going deep: models for continuous-time within-play valuation of game outcomes in American football with tracking data R Yurko, F Matano, LF Richardson, N Granered, T Pospisil, K Pelechrinis, ... Journal of Quantitative Analysis in Sports 16 (2), 163-182, 2020 | 37 | 2020 |
Values of user exploration in recommender systems M Chen, Y Wang, C Xu, Y Le, M Sharma, L Richardson, SL Wu, E Chi Proceedings of the 15th ACM Conference on Recommender Systems, 85-95, 2021 | 36 | 2021 |
Augmenting adjusted plus-minus in soccer with FIFA ratings F Matano, LF Richardson, T Pospisil, C Eubanks, J Qin Journal of Quantitative Analysis in Sports, 2023 | 20* | 2023 |
Statistical prediction of global sea level from global temperature D Bolin, P Guttorp, A Januzzi, D Jones, M Novak, H Podschwit, ... Statistica Sinica, 351-367, 2015 | 19 | 2015 |
Assessing the uncertainty in projecting local mean sea level from global temperature P Guttorp, A Januzzi, M Novak, H Podschwit, L Richardson, CD Sowder, ... Journal of Applied Meteorology and Climatology 53 (9), 2163-2170, 2014 | 8 | 2014 |
Choosing a proxy metric from past experiments N Tripuraneni, L Richardson, A D'Amour, J Soriano, S Yadlowsky arXiv preprint arXiv:2309.07893, 2023 | 4 | 2023 |
Algorithm 991: The 2d tree sliding window discrete fourier transform LF Richardson, WF Eddy ACM Transactions on Mathematical Software (TOMS) 45 (1), 1-12, 2019 | 4 | 2019 |
Pareto optimal proxy metrics L Richardson, A Zito, D Greaves, J Soriano arXiv preprint arXiv:2307.01000, 2023 | 2 | 2023 |
The Sliding Window Discrete Fourier Transform LF Richardson https://kilthub.cmu.edu/articles …, 2019 | 2 | 2019 |
Continuously Updated Data Analysis Systems LF Richardson arXiv preprint arXiv:1907.09333, 2019 | 1 | 2019 |
Why model calibration matters and how to achieve it L Richardson, T Pospisil The Unofficial Google Data Science Blog, 2021 | | 2021 |
SPEW: Online Materials S Gallagher, LF Richardson, SL Ventura, WF Eddy | | |
Mapping Uncertainty in Atmospheric Aerosols over Europe P Adams, L Richardson, V Ventura, C Shalizi | | |