Yuling Yao
Yuling Yao
Flatiron Institute
Verified email at flatironinstitute.org - Homepage
Cited by
Cited by
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
Using stacking to average Bayesian predictive distributions
Y Yao, A Vehtari, D Simpson, A Gelman
Bayesian Analysis 13, 917--1003, 2018
Pareto smoothed importance sampling
A Vehtari, D Simpson, A Gelman, Y Yao, J Gabry
arXiv preprint arXiv:1507.02646, 2019
Yes, but did it work?: Evaluating variational inference
Y Yao, A Vehtari, D Simpson, A Gelman
35th International Conference on Machine Learning (ICML), 2018
A Bayesian bird's eye view of ‘Replications of important results in social psychology’
M Marsman, FD Schoenbrodt, RD Morey, Y Yao, A Gelman, ...
Royal Society open science 4 (1), 160426, 2017
Bayesian workflow
A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, ...
arXiv preprint arXiv:2011.01808, 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 (1), 22-27, 2019
Stacking for non-mixing Bayesian computations: The curse and blessing of multimodal posteriors
Y Yao, A Vehtari, A Gelman
arXiv preprint arXiv:2006.12335, 2020
Holes in Bayesian statistics
A Gelman, Y Yao
Journal of Physics G: Nuclear and Particle Physics, 2020
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
Bayesian aggregation
Y Yao
arXiv preprint arXiv:1912.11218, 2019
Bayesian hierarchical stacking: Some models are (somewhere) useful
Y Yao, G Pirš, A Vehtari, A Gelman
Bayesian Analysis, 2021
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
No excess mortality detected in rural Bangladesh in 2020 from repeated surveys of a population of 81,000
P Barnwal, Y Yao, Y Wang, NA Juy, S Raihan, MA Haque, A van Geen
SSRN preprint 3844818, 2021
Adaptive path sampling in metastable posterior distributions
Y Yao, C Cademartori, A Vehtari, A Gelman
arXiv preprint arXiv:2009.00471, 2020
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
Happy Generations, Depressed Generations: How and Why Chinese People’s Life Satisfactions Vary across Generations
YS Su, Y Yao
Asian Political Methodology conference, Beijing China, 2016
Toward a scalable Bayesian workflow
Y Yao
Columbia University, 2021
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