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Jonah Gabry
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Zitiert von
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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
44732017
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
8472019
R-squared for Bayesian regression models
A Gelman, B Goodrich, J Gabry, A Vehtari
The American Statistician, 2019
7212019
loo: Efficient leave-one-out cross-validation and WAIC for Bayesian models
A Vehtari, J Gabry, M Magnusson, Y Yao, PC Bürkner, T Paananen, ...
R package version 2 (1), 12, 2020
6862020
rstanarm: Bayesian applied regression modeling via Stan
B Goodrich, J Gabry, I Ali, S Brilleman
R package version 2 (1), 2020
6842020
Pareto smoothed importance sampling
A Vehtari, D Simpson, A Gelman, Y Yao, J Gabry
arXiv preprint arXiv:1507.02646, 2015
3162015
Bayesian workflow
A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, ...
arXiv preprint arXiv:2011.01808, 2020
3132020
bayesplot: Plotting for Bayesian models
J Gabry, T Mahr
R package version 1 (0), 824, 2021
3012021
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
2392020
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
1822018
cmdstanr: R Interface to’CmdStan’
J Gabry
(No Title), 2021
1792021
rstanarm: Bayesian applied regression modeling via Stan
J Gabry, B Goodrich
R package version 2 (1), 2016
1562016
brms: Bayesian regression models using Stan
PC Bürkner, J Gabry, S Weber, A Johnson, M Modrak
R package version 1 (0), 2016
1502016
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
1032015
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
1012020
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
1012020
bayesplot: Plotting for Bayesian models. R package version 1.8. 0
J Gabry, T Mahr
842021
Brilleman S. rstanarm: Bayesian applied regression modeling via Stan. 2020
B Goodrich, J Gabry, I Ali
772020
rstan: R Interface to Stan
J Guo, D Lee, K Sakrejda, J Gabry, B Goodrich, J De Guzman, E Niebler, ...
R 534, 0-3, 2016
632016
Antiemetic prophylaxis as a marker of health care disparities in the National Anesthesia Clinical Outcomes Registry
MH Andreae, JS Gabry, B Goodrich, RS White, C Hall
Anesthesia & Analgesia 126 (2), 588-599, 2018
542018
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