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@article{baio2010bayesian,
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}
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@misc{carpenter2016hierarchical,
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}
@article{gelman2020bayesian,
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}
@book{gelman2020regression,
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}
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}
@article{google_causal_impact2015,
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}
@misc{harper2015movielens,
  title         = {The MovieLens Datasets: History and Context},
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}
@book{hayes2017introduction,
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  year          = {2017},
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}
@article{hoffman2014nuts,
  title         = {The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo},
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}
@misc{hogg2010data,
  title         = {Data analysis recipes: Fitting a model to data},
  author        = {David W. Hogg and Jo Bovy and Dustin Lang},
  year          = {2010},
  eprint        = {1008.4686},
  archiveprefix = {arXiv},
  primaryclass  = {astro-ph.IM}
}
@article{iacobucci2016mean,
  title         = {Mean centering helps alleviate ``micro'' but not ``macro'' multicollinearity},
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  journal       = {Behavior research methods},
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  number        = {4},
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}
@article{iacobucci2017mean,
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@book{ivezić2014astroMLtext,
  author        = {\v{Z}eljko Ivezi\'{c} and Andrew J. Connolly and Jacob T. VanderPlas and Alexander Gray},
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  title         = {Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data},
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  publisher     = {Princeton University Press},
  isbn          = {9781400848911}
}
@book{james2021statisticallearning,
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  issn          = {1431-875X},
  isbn          = {978-1-0716-1420-4}
}
@article{johnson1999,
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}
@misc{kingma2014autoencoding,
  title         = {Auto-Encoding Variational Bayes},
  author        = {Diederik P Kingma and Max Welling},
  year          = {2014},
  eprint        = {1312.6114},
  archiveprefix = {arXiv},
  primaryclass  = {stat.ML}
}
@article{koren2009matrixfactorization,
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}
@article{kruschke2011bayesian,
  title         = {Bayesian assessment of null values via parameter estimation and model comparison},
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  number        = {3},
  pages         = {299--312},
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}
@article{kruschke2013,
  doi           = {10.1037/a0029146},
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  volume        = {142},
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}
@book{kruschke2014doing,
  title         = {Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan},
  author        = {Kruschke, John},
  year          = {2014},
  publisher     = {Academic Press}
}
@misc{kucukelbir2015automatic,
  title         = {Automatic Variational Inference in Stan},
  author        = {Alp Kucukelbir and Rajesh Ranganath and Andrew Gelman and David M. Blei},
  year          = {2015},
  eprint        = {1506.03431},
  archiveprefix = {arXiv},
  primaryclass  = {stat.ML}
}
@article{lewandowski2009generating,
  title         = {Generating random correlation matrices based on vines and extended onion method},
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  journal       = {Journal of multivariate analysis},
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  number        = {9},
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}
@book{martin2018bayesian,
  title         = {Bayesian analysis with Python: introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ},
  author        = {Martin, Osvaldo},
  year          = {2018},
  publisher     = {Packt Publishing Ltd}
}
@book{martin2021bayesian,
  title         = {Bayesian Modeling and Computation in Python},
  author        = {Martin, Osvaldo A and Kumar, Ravin and Lao, Junpeng},
  year          = {2021},
  publisher     = {Chapman and Hall/CRC},
  doi           = {10.1201/9781003019169}
}
@article{mcclelland2017multicollinearity,
  title         = {Multicollinearity is a red herring in the search for moderator variables: A guide to interpreting moderated multiple regression models and a critique of Iacobucci, Schneider, Popovich, and Bakamitsos (2016)},
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  journal       = {Behavior research methods},
  volume        = {49},
  number        = {1},
  pages         = {394--402},
  year          = {2017},
  publisher     = {Springer}
}
@book{mcelreath2018statistical,
  title         = {Statistical rethinking: A Bayesian course with examples in R and Stan},
  author        = {McElreath, Richard},
  year          = {2018},
  publisher     = {Chapman and Hall/CRC}
}
@inproceedings{mnih2008advances,
  title         = {Probabilistic Matrix Factorization},
  author        = {Mnih, Andriy and Salakhutdinov, Russ R},
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  volume        = {20},
  year          = {2008}
}
@misc{mnih2013playing,
  title         = {Playing Atari with Deep Reinforcement Learning},
  author        = {Volodymyr Mnih and Koray Kavukcuoglu and David Silver and Alex Graves and Ioannis Antonoglou and Daan Wierstra and Martin Riedmiller},
  year          = {2013},
  eprint        = {1312.5602},
  archiveprefix = {arXiv},
  primaryclass  = {cs.LG}
}
@book{molnar2019,
  title         = {Interpretable Machine Learning},
  author        = {Christoph Molnar},
  year          = {2019},
  subtitle      = {A Guide for Making Black Box Models Explainable},
  url           = {https://christophm.github.io/interpretable-ml-book/},
  publisher     = {Christoph Molnar}
}
@article{nowlan1992simplifying,
  title         = {Simplifying Neural Networks By Soft Weight-Sharing},
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}
@article{nuijten2015default,
  title         = {A default Bayesian hypothesis test for mediation},
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  year          = {2015},
  publisher     = {Springer}
}
@book{rasmussen2003gaussian,
  title         = {Gaussian Processes for Machine Learning},
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  url           = {https://gaussianprocess.org/gpml/}
}
@book{roback2021beyond,
  title         = {Beyond multiple linear regression: Applied generalized linear models and multilevel models in R},
  author        = {Roback, P., and Legler, J.},
  year          = {2021},
  publisher     = {CRC Press},
  url           = {https://bookdown.org/roback/bookdown-BeyondMLR/}
}
@inproceedings{salakhutdinov2008bayesian,
  title         = {Bayesian Probabilistic Matrix Factorization Using Markov Chain Monte Carlo},
  author        = {Salakhutdinov, Ruslan and Mnih, Andriy},
  booktitle     = {Proceedings of the 25th international conference on Machine learning},
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  year          = {2008},
  volume        = {25}
}
@article{silver2016masteringgo,
  title         = {Mastering the game of Go with deep neural networks and tree search},
  author        = {D. Silver, A. Huang, C. Maddison et al.},
  journal       = {Nature},
  volume        = {529},
  pages         = {484--489},
  year          = {2016},
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}
@article{spiller2013spotlights,
  title         = {Spotlights, floodlights, and the magic number zero: Simple effects tests in moderated regression},
  author        = {Spiller, Stephen A and Fitzsimons, Gavan J and Lynch Jr, John G and McClelland, Gary H},
  journal       = {Journal of marketing research},
  volume        = {50},
  number        = {2},
  pages         = {277--288},
  year          = {2013},
  publisher     = {SAGE Publications Sage CA: Los Angeles, CA}
}
@misc{szegedy2014going,
  title         = {Going Deeper with Convolutions},
  author        = {Christian Szegedy and Wei Liu and Yangqing Jia and Pierre Sermanet and Scott Reed and Dragomir Anguelov and Dumitru Erhan and Vincent Vanhoucke and Andrew Rabinovich},
  year          = {2014},
  eprint        = {1409.4842},
  archiveprefix = {arXiv},
  primaryclass  = {cs.CV}
}
@article{taylor2018forecasting,
  title         = {Forecasting at scale},
  author        = {Taylor, Sean J and Letham, Benjamin},
  journal       = {The American Statistician},
  volume        = {72},
  number        = {1},
  pages         = {37--45},
  year          = {2018},
  publisher     = {Taylor \& Francis},
  url           = {https://peerj.com/preprints/3190/}
}
@online{vandenbergSPSS,
  author        = {van den Berg, R. G},
  title         = {SPSS Moderation Regression Tutorial},
  url           = {https://www.spss-tutorials.com/spss-regression-with-moderation-interaction-effect/},
  urldate       = {2022-03-20}
}
@inproceedings{vanderplas2012astroML,
  author        = {{Vanderplas}, J.T. and {Connolly}, A.J. and {Ivezi{\'c}}, {\v Z}. and {Gray}, A.},
  booktitle     = {Conference on Intelligent Data Understanding (CIDU)},
  title         = {Introduction to astroML: Machine learning for astrophysics},
  month         = {oct.},
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  doi           = {10.1109/CIDU.2012.6382200},
  year          = {2012}
}
@book{wilkinson2005grammar,
  title         = {The Grammar of Graphics},
  author        = {Wilkinson, Leland},
  year          = {2005},
  publisher     = {Springer},
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}
@article{Yao_2018,
  doi           = {10.1214/17-ba1091},
  url           = {https://doi.org/10.1214\%2F17-ba1091},
  year          = 2018,
  month         = {sep},
  publisher     = {Institute of Mathematical Statistics},
  volume        = {13},
  number        = {3},
  author        = {Yuling Yao and Aki Vehtari and Daniel Simpson and Andrew Gelman},
  title         = {Using Stacking to Average Bayesian Predictive Distributions (with Discussion)},
  journal       = {Bayesian Analysis}
}
@article{yuan2009bayesian,
  title         = {Bayesian mediation analysis.},
  author        = {Yuan, Ying and MacKinnon, David P},
  journal       = {Psychological methods},
  volume        = {14},
  number        = {4},
  pages         = {301},
  year          = {2009},
  publisher     = {American Psychological Association}
}
@article{zhang2017moderation,
  title         = {Moderation analysis with missing data in the predictors.},
  author        = {Zhang, Qian and Wang, Lijuan},
  journal       = {Psychological methods},
  volume        = {22},
  number        = {4},
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  year          = {2017},
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}