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README.md

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@@ -17,22 +17,23 @@ approximate LOO-CV
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* Vehtari, A., Gelman, A., and Gabry, J. (2017). Practical Bayesian model
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evaluation using leave-one-out cross-validation and WAIC.
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_Statistics and Computing_. 27(5), 1413--1432.
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doi:10.1007/s11222-016-9696-4. [Online](https://dx.doi.org/10.1007/s11222-016-9696-4),
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[arXiv preprint arXiv:1507.04544](https://arxiv.org/abs/1507.04544).
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_Statistics and Computing_. 27(5): 1413-1432.
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[Journal](https://dx.doi.org/10.1007/s11222-016-9696-4),
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[arXiv preprint](https://arxiv.org/abs/1507.04544)
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* Vehtari, A., Simpson, D., Gelman, A., Yao, Y., and Gabry, J. (2024).
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Pareto smoothed importance sampling. *Journal of Machine Learning Research*,
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25(72):1-58.
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[Online](https://jmlr.org/papers/v25/19-556.html)
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25(72): 1-58.
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[Journal](https://jmlr.org/papers/v25/19-556.html),
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[arXiv preprint](https://arxiv.org/abs/1507.02646)
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and computes model weights as described in
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* Yao, Y., Vehtari, A., Simpson, D., and Gelman, A. (2018). Using
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stacking to average Bayesian predictive distributions. In Bayesian
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Analysis, doi:10.1214/17-BA1091.
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[Online](https://dx.doi.org/10.1214/17-BA1091),
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[arXiv preprint arXiv:1704.02030](https://arxiv.org/abs/1704.02030).
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stacking to average Bayesian predictive distributions. *Bayesian Analysis*
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13(3): 917-1007.
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[Journal](https://dx.doi.org/10.1214/17-BA1091),
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[arXiv preprint](https://arxiv.org/abs/1704.02030)
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From existing posterior simulation draws, we compute approximate LOO-CV using
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Pareto smoothed importance sampling (PSIS), a new procedure for regularizing

man/crps.Rd

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man/loo-glossary.Rd

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man/loo_compare.Rd

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