| 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 | 856* | 2018 |
| Using stacking to average Bayesian predictive distributions Y Yao, A Vehtari, D Simpson, A Gelman Bayesian Analysis 13, 917--1003, 2018 | 645 | 2018 |
| Pareto smoothed importance sampling A Vehtari, D Simpson, A Gelman, Y Yao, J Gabry arXiv preprint arXiv:1507.02646, 2019 | 383 | 2019 |
| Bayesian workflow A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, ... arXiv preprint arXiv:2011.01808, 2020 | 380 | 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 | 194 | 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 | 80 | 2017 |
| Bayesian workflow. arXiv A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, ... arXiv preprint arXiv:2011.01808 10, 2020 | 65 | 2020 |
| 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 | 64 | 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 | 61 | 2022 |
| Bayesian hierarchical stacking: Some models are (somewhere) useful Y Yao, G Pirš, A Vehtari, A Gelman Bayesian Analysis, 1-29, 2021 | 60 | 2021 |
| Holes in Bayesian statistics A Gelman, Y Yao Journal of Physics G: Nuclear and Particle Physics, 2020 | 44 | 2020 |
| Pareto smoothed importance sampling. arXiv A Vehtari, D Simpson, A Gelman, Y Yao, J Gabry arXiv preprint arXiv:1507.02646, 2019 | 30 | 2019 |
| 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 | 19 | 2020 |
| 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 | 18 | 2022 |
| 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 | 16* | 2021 |
| Galaxy clustering analysis with SimBIG and the wavelet scattering transform B Régaldo-Saint Blancard, CH Hahn, S Ho, J Hou, P Lemos, E Massara, ... Physical Review D 109 (8), 083535, 2024 | 11 | 2024 |
| Adaptive path sampling in metastable posterior distributions Y Yao, C Cademartori, A Vehtari, A Gelman arXiv preprint arXiv:2009.00471, 2020 | 9 | 2020 |
| Variational inference with Gaussian score matching C Modi, R Gower, C Margossian, Y Yao, D Blei, L Saul Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| 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 |
| 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 | 4 | 2022 |
Andrew GelmanProfessor of Statistics and Political Science, Columbia UniversityVerified email at stat.columbia.edu
