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‎examples/references.bib‎

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@@ -469,6 +469,16 @@ @article{koren2009matrixfactorization
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pages = {30--37},
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doi = {10.1109/MC.2009.263}
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}
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@article{kruschke2010believe,
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title = {What to believe: Bayesian methods for data analysis},
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author = {Kruschke, John K},
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journal = {Trends in cognitive sciences},
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volume = {14},
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number = {7},
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pages = {293--300},
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year = {2010},
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publisher = {Elsevier}
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}
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@article{kruschke2011bayesian,
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title = {Bayesian assessment of null values via parameter estimation and model comparison},
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author = {Kruschke, John K},
@@ -497,6 +507,16 @@ @book{kruschke2014doing
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year = {2014},
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publisher = {Academic Press}
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}
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@article{kruschke2018rejecting,
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title = {Rejecting or accepting parameter values in Bayesian estimation},
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author = {Kruschke, John K},
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journal = {Advances in methods and practices in psychological science},
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volume = {1},
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number = {2},
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pages = {270--280},
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year = {2018},
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publisher = {Sage Publications Sage CA: Los Angeles, CA}
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}
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@misc{kucukelbir2015automatic,
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title = {Automatic Variational Inference in Stan},
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author = {Alp Kucukelbir and Rajesh Ranganath and Andrew Gelman and David M. Blei},
@@ -651,6 +671,17 @@ @online{numpyroBirthdays
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title = {Example: Hilbert space approximation for Gaussian processes},
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url = {https://num.pyro.ai/en/stable/examples/hsgp.html}
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}
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@online{numpyroBirthdays,
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title = {Example: Hilbert space approximation for Gaussian processes},
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url = {https://num.pyro.ai/en/stable/examples/hsgp.html}
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}
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@online{orduz2024Birthdays,
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title = {Time Series Modeling with HSGP: Baby Births Example},
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author = {Orduz, Juan},
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url = {https://juanitorduz.github.io/birthdays/},
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urldate = {2024-01-02},
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year = {2024}
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}
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@online{orduz2024Birthdays,
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title = {Time Series Modeling with HSGP: Baby Births Example},
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author = {Orduz, Juan},
@@ -707,6 +738,21 @@ @article{penrose1985
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year = {1985},
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pages = {189}
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}
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@article{penrose1985,
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title = {{GENERALIZED} {BODY} {COMPOSITION} {PREDICTION} {EQUATION} {FOR} {MEN} {USING} {SIMPLE} {MEASUREMENT} {TECHNIQUES}},
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volume = {17},
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issn = {0195-9131},
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url = {https://journals.lww.com/acsm-msse/citation/1985/04000/generalized_body_composition_prediction_equation.37.aspx},
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abstract = {An abstract is unavailable. This article is available as a PDF only.},
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language = {en-US},
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number = {2},
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urldate = {2023-10-17},
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journal = {Medicine \& Science in Sports \& Exercise},
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author = {Penrose, K. W. and Nelson, A. G. and Fisher, A. G.},
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month = apr,
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year = {1985},
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pages = {189}
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}
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@misc{quiroga2022bart,
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title = {Bayesian additive regression trees for probabilistic programming},
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author = {Quiroga, Miriana and Garay, Pablo G and Alonso, Juan M. and Loyola, Juan Martin and Martin, Osvaldo A},
@@ -746,6 +792,17 @@ @article{riutort2022PracticalHilbertSpaceApproximate
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volume = {33},
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year = {2022}
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}
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@article{riutort2022PracticalHilbertSpaceApproximate,
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author = {Riutort-Mayol, Gabriel and B{\"u}rkner, Paul-Christian and Andersen, Michael R. and Solin, Arno and Vehtari, Aki},
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doi = {10.1007/s11222-022-10167-2},
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journal = {Statistics and Computing},
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number = {1},
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pages = {17},
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title = {Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming},
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url = {https://doi.org/10.1007/s11222-022-10167-2},
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volume = {33},
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year = {2022}
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}
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@book{roback2021beyond,
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title = {Beyond multiple linear regression: Applied generalized linear models and multilevel models in R},
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author = {Roback, P., and Legler, J.},
@@ -791,6 +848,17 @@ @article{solin2020Hilbert
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volume = {30},
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year = {2020}
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}
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@article{solin2020Hilbert,
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author = {Solin, Arno and S{\"a}rkk{\"a}, Simo},
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doi = {10.1007/s11222-019-09886-w},
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journal = {Statistics and Computing},
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number = {2},
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pages = {419--446},
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title = {Hilbert space methods for reduced-rank Gaussian process regression},
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url = {https://doi.org/10.1007/s11222-019-09886-w},
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volume = {30},
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year = {2020}
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}
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@article{spiller2013spotlights,
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title = {Spotlights, floodlights, and the magic number zero: Simple effects tests in moderated regression},
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author = {Spiller, Stephen A and Fitzsimons, Gavan J and Lynch Jr, John G and McClelland, Gary H},
@@ -889,6 +957,13 @@ @online{vehtari2022Birthdays
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urldate = {2022-03-07},
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year = {2022}
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}
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@online{vehtari2022Birthdays,
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title = {Bayesian workflow book - Birthdays},
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author = {Vehtari, Aki},
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url = {https://avehtari.github.io/casestudies/Birthdays/birthdays.html},
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urldate = {2022-03-07},
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year = {2022}
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}
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@online{vieira2022BVAR,
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title = {Bayesian Vector Autoregression in PyMC},
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author = {Vieira, Ricardo},
@@ -950,6 +1025,19 @@ @article{Yao_2022
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doi = {10.1214/21-BA1287},
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url = {https://doi.org/10.1214/21-BA1287}
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}
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@article{Yao_2022,
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author = {Yuling Yao and Gregor Pir\v{s} and Aki Vehtari and Andrew Gelman},
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title = {{Bayesian Hierarchical Stacking: Some Models Are (Somewhere) Useful}},
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volume = {17},
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journal = {Bayesian Analysis},
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number = {4},
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publisher = {International Society for Bayesian Analysis},
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pages = {1043 -- 1071},
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keywords = {Bayesian hierarchical modeling, conditional prediction, covariate shift, model averaging, prior construction, stacking},
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year = {2022},
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doi = {10.1214/21-BA1287},
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url = {https://doi.org/10.1214/21-BA1287}
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}
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@article{yuan2009bayesian,
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title = {Bayesian mediation analysis.},
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author = {Yuan, Ying and MacKinnon, David P},
@@ -976,94 +1064,3 @@ @article{zhang2021pathfinder
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journal = {arXiv preprint arXiv:2108.03782},
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year = {2021}
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}
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@online{orduz2024Birthdays,
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title = {Time Series Modeling with HSGP: Baby Births Example},
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author = {Orduz, Juan},
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url = {https://juanitorduz.github.io/birthdays/},
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urldate = {2024-01-02},
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year = {2024}
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}
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@online{vehtari2022Birthdays,
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title = {Bayesian workflow book - Birthdays},
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author = {Vehtari, Aki},
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url = {https://avehtari.github.io/casestudies/Birthdays/birthdays.html},
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urldate = {2022-03-07},
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year = {2022}
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}
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@online{numpyroBirthdays,
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title = {Example: Hilbert space approximation for Gaussian processes},
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url = {https://num.pyro.ai/en/stable/examples/hsgp.html},
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}
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@article{riutort2022PracticalHilbertSpaceApproximate,
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author = {Riutort-Mayol, Gabriel and B{\"u}rkner, Paul-Christian and Andersen, Michael R. and Solin, Arno and Vehtari, Aki},
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doi = {10.1007/s11222-022-10167-2},
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journal = {Statistics and Computing},
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number = {1},
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pages = {17},
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title = {Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming},
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url = {https://doi.org/10.1007/s11222-022-10167-2},
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volume = {33},
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year = {2022},
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}
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@article{solin2020Hilbert,
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author = {Solin, Arno and S{\"a}rkk{\"a}, Simo},
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doi = {10.1007/s11222-019-09886-w},
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journal = {Statistics and Computing},
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number = {2},
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pages = {419--446},
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title = {Hilbert space methods for reduced-rank Gaussian process regression},
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url = {https://doi.org/10.1007/s11222-019-09886-w},
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volume = {30},
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year = {2020},
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}
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@article{penrose1985,
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title = {{GENERALIZED} {BODY} {COMPOSITION} {PREDICTION} {EQUATION} {FOR} {MEN} {USING} {SIMPLE} {MEASUREMENT} {TECHNIQUES}},
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volume = {17},
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issn = {0195-9131},
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url = {https://journals.lww.com/acsm-msse/citation/1985/04000/generalized_body_composition_prediction_equation.37.aspx},
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abstract = {An abstract is unavailable. This article is available as a PDF only.},
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language = {en-US},
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number = {2},
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urldate = {2023-10-17},
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journal = {Medicine \& Science in Sports \& Exercise},
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author = {Penrose, K. W. and Nelson, A. G. and Fisher, A. G.},
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month = apr,
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year = {1985},
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pages = {189},
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}
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@article{Yao_2022,
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author = {Yuling Yao and Gregor Pirš and Aki Vehtari and Andrew Gelman},
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title = {{Bayesian Hierarchical Stacking: Some Models Are (Somewhere) Useful}},
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volume = {17},
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journal = {Bayesian Analysis},
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number = {4},
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publisher = {International Society for Bayesian Analysis},
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pages = {1043 -- 1071},
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keywords = {Bayesian hierarchical modeling, conditional prediction, covariate shift, model averaging, prior construction, stacking},
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year = {2022},
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doi = {10.1214/21-BA1287},
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URL = {https://doi.org/10.1214/21-BA1287}
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}
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@article{kruschke2010believe,
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title={What to believe: Bayesian methods for data analysis},
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author={Kruschke, John K},
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journal={Trends in cognitive sciences},
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volume={14},
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number={7},
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pages={293--300},
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year={2010},
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publisher={Elsevier}
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}
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@article{kruschke2018rejecting,
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title={Rejecting or accepting parameter values in Bayesian estimation},
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author={Kruschke, John K},
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journal={Advances in methods and practices in psychological science},
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volume={1},
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number={2},
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pages={270--280},
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year={2018},
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publisher={Sage Publications Sage CA: Los Angeles, CA}
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}

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