| loo: Efficient leave-one-out cross-validation and WAIC for Bayesian models A Vehtari, J Gabry, Y Yao, A Gelman R package. https://cran.r-project.org/web/packages/loo/index.html, 2018 | 679* | 2018 |
| Using stacking to average Bayesian predictive distributions Y Yao, A Vehtari, D Simpson, A Gelman Bayesian Analysis 13, 917--1003, 2018 | 505* | 2018 |
| Pareto smoothed importance sampling A Vehtari, D Simpson, A Gelman, Y Yao, J Gabry arXiv preprint arXiv:1507.02646, 2019 | 301 | 2019 |
| Bayesian workflow A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, ... arXiv preprint arXiv:2011.01808, 2020 | 268* | 2020 |
| Yes, but did it work?: Evaluating variational inference Y Yao, A Vehtari, D Simpson, A Gelman 35th International Conference on Machine Learning (ICML), 2018 | 163 | 2018 |
| A Bayesian bird's eye view of ‘Replications of important results in social psychology’ M Marsman, FD Schönbrodt, RD Morey, Y Yao, A Gelman, ... Royal Society open science 4 (1), 160426, 2017 | 72 | 2017 |
| Limitations of “Limitations of Bayesian leave-one-out cross-validation for model selection” A Vehtari, DP Simpson, Y Yao, A Gelman Computational Brain & Behavior 2, 22-27, 2019 | 56 | 2019 |
| Stacking for non-mixing Bayesian computations: The curse and blessing of multimodal posteriors Y Yao, A Vehtari, A Gelman Journal of Machine Learning Research 23, 1–45, 2022 | 37 | 2022 |
| Holes in Bayesian statistics A Gelman, Y Yao Journal of Physics G: Nuclear and Particle Physics, 2020 | 29 | 2020 |
| Bayesian hierarchical stacking: Some models are (somewhere) useful Y Yao, G Pirš, A Vehtari, A Gelman Bayesian Analysis, 1-29, 2021 | 27 | 2021 |
| Economic growth and happiness in China: A Bayesian multilevel age-period-cohort analysis based on the CGSS data 2005–2015 YS Su, D Lien, Y Yao International Review of Economics & Finance 77, 191-205, 2022 | 16 | 2022 |
| Fallout of lead over Paris from the 2019 Notre‐Dame cathedral fire A van Geen, Y Yao, T Ellis, A Gelman GeoHealth 4 (8), e2020GH000279, 2020 | 14 | 2020 |
| Assessment of excess mortality and household income in rural Bangladesh during the COVID-19 pandemic in 2020 P Barnwal, Y Yao, Y Wang, NA Juy, S Raihan, MA Haque, A van Geen JAMA Network Open 4 (11), e2132777-e2132777, 2021 | 10* | 2021 |
| Ensemble model patching: A parameter-efficient variational Bayesian neural network O Chang, Y Yao, D Williams-King, H Lipson arXiv preprint arXiv:1905.09453, 2019 | 8 | 2019 |
| Adaptive path sampling in metastable posterior distributions Y Yao, C Cademartori, A Vehtari, A Gelman arXiv preprint arXiv:2009.00471, 2020 | 6 | 2020 |
| Bayesian aggregation Y Yao Wiley StatsRef: Statistics Reference Online, 2020 | 4 | 2020 |
| Locking and Quacking: Stacking Bayesian model predictions by log-pooling and superposition Y Yao, LM Carvalho, D Mesquita, Y McLatchie NeurIPS 2022 Workshop on Score-Based Methods, 2022 | 2 | 2022 |
| Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier Y Yao, J Domke Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 1* | 2023 |
| Making the most of imprecise measurements: Changing patterns of arsenic concentrations in shallow wells of Bangladesh from laboratory and field data Y Yao, R Mozumder, B Bostick, B Mailloux, CF Harvey, A Gelman, ... arXiv preprint arXiv:2101.06631, 2021 | 1 | 2021 |
| Simulation based stacking Y Yao, BRS Blancard, J Domke arXiv preprint arXiv:2310.17009, 2023 | | 2023 |
Andrew GelmanProfessor of Statistics and Political Science, Columbia UniversityZweryfikowany adres z stat.columbia.edu
