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Jonah Gabry
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Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
A Vehtari, A Gelman, J Gabry
Statistics and computing 27, 1413-1432, 2017
54922017
Visualization in Bayesian workflow
J Gabry, D Simpson, A Vehtari, M Betancourt, A Gelman
Journal of the Royal Statistical Society Series A: Statistics in Society 182 …, 2019
10752019
R-squared for Bayesian regression models
A Gelman, B Goodrich, J Gabry, A Vehtari
The American Statistician, 2019
8882019
rstanarm: Bayesian applied regression modeling via Stan
B Goodrich, J Gabry, I Ali, S Brilleman
R package version 2 (1), 2020
8442020
loo: Efficient leave-one-out cross-validation and WAIC for Bayesian models
A Vehtari, J Gabry, M Magnusson, Y Yao, PC Bürkner, T Paananen, ...
CRAN: Contributed Packages, 2015
7402015
Bayesian workflow
A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, ...
arXiv preprint arXiv:2011.01808, 2020
4842020
Pareto smoothed importance sampling
A Vehtari, D Simpson, A Gelman, Y Yao, J Gabry
Journal of Machine Learning Research 25 (72), 1-58, 2024
4052024
bayesplot: Plotting for Bayesian models
J Gabry, T Mahr
R package version 1 (0), 824, 2021
3642021
cmdstanr: R Interface to’CmdStan’
J Gabry
(No Title), 2021
3242021
rstanarm: Bayesian applied regression modeling via Stan. R package version 2.21. 1
B Goodrich, J Gabry, I Ali, S Brilleman
Retrieved June 6, 2020, 2020
2852020
loo: Efficient leave-one-out cross-validation and WAIC for Bayesian models. R package version 2.4. 1
A Vehtari, J Gabry, M Magnusson, Y Yao, P Bürkner, T Paananen, ...
2312020
User-friendly Bayesian regression modeling: A tutorial with rstanarm and shinystan
C Muth, Z Oravecz, J Gabry
The Quantitative Methods for Psychology 14 (2), 99-119, 2018
2292018
brms: Bayesian regression models using Stan
PC Bürkner, J Gabry, S Weber, A Johnson, M Modrak, HS Badr, F Weber, ...
R package version 1 (0), 2016
1742016
rstanarm: Bayesian applied regression modeling via Stan
J Gabry, B Goodrich
R package version 2 (1), 2016
1572016
Approximate leave-future-out cross-validation for Bayesian time series models
PC Bürkner, J Gabry, A Vehtari
Journal of Statistical Computation and Simulation 90 (14), 2499-2523, 2020
1272020
Broom. mixed: Tidying methods for mixed models
B Bolker, D Robinson, D Menne, J Gabry, P Buerkner, C Hau, W Petry
R package version 0.2 6, 2020
1202020
Efficient implementation of leave-one-out cross-validation and WAIC for evaluating fitted Bayesian models
A Vehtari, A Gelman, J Gabry
arXiv preprint arXiv:1507.04544, 2015
1162015
bayesplot: Plotting for Bayesian Models. R package version 1.7. 2
J Gabry, T Mahr
1102020
Brilleman S. rstanarm: Bayesian applied regression modeling via Stan. 2020
B Goodrich, J Gabry, I Ali
942020
posterior: Tools for working with posterior distributions
PC Bürkner, J Gabry, M Kay, A Vehtari
R package version 1 (0), 2023
812023
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Articles 1–20