IntroDiscussionThesis.bib

@article{gelman_prior_2017,
	title = {The prior can often only be understood in the context of the likelihood},
	volume = {19},
	number = {10},
	journal = {Entropy},
	author = {Gelman, Andrew and Simpson, Daniel and Betancourt, Michael},
	year = {2017},
	pages = {555}
}

@book{spiegelhalter_bayesian_2004,
	title = {Bayesian approaches to clinical trials and health-care evaluation},
	volume = {13},
	isbn = {0-471-49975-7},
	publisher = {John Wiley \& Sons},
	author = {Spiegelhalter, David J and Abrams, Keith R and Myles, Jonathan P},
	year = {2004}
}

@article{berger_case_2006,
	title = {The case for objective {Bayesian} analysis},
	volume = {1},
	number = {3},
	journal = {Bayesian analysis},
	author = {Berger, James O},
	year = {2006},
	pages = {385--402}
}

@inproceedings{jaynes_bayesian_1996,
	address = {University of Calgary},
	title = {Bayesian {Methods}: {General} {Background}},
	url = {http://web.archive.org/web/20160110215954/http://bayes.wustl.edu/etj/articles/general.background.pdf},
	publisher = {Cambridge University Press},
	author = {Jaynes, E. T.},
	month = jul,
	year = {1996},
	pages = {1--25}
}

@book{ohagan_uncertain_2006,
	title = {Uncertain judgements: eliciting experts' probabilities},
	isbn = {0-470-03330-4},
	publisher = {John Wiley \& Sons},
	author = {O'Hagan, Anthony and Buck, Caitlin E. and Daneshkhah, Alireza and Eiser, J. Richard and Garthwaite, Paul H. and Jenkinson, David J. and Oakley, Jeremy E. and Rakow, Tim},
	year = {2006}
}

@incollection{van_de_schoot_tutorial_2020,
	title = {A tutorial on using the {WAMBS}-checklist to avoid the misuse {Bayesian} {Statistics}},
	booktitle = {Small sample size solutions: {A} guide for applied researchers and practitioners},
	publisher = {Routledge},
	author = {{van de Schoot}, Rens and Veen, Duco and Smeets, Laurent and Winter, Sonja and Depaoli, Sarah},
	year = {2020}
}

@article{gabry_visualization_2019,
	title = {Visualization in {Bayesian} workflow},
	volume = {182},
	issn = {0964-1998},
	number = {2},
	journal = {Journal of the Royal Statistical Society: Series A (Statistics in Society)},
	author = {Gabry, Jonah and Simpson, Daniel and Vehtari, Aki and Betancourt, Michael and Gelman, Andrew},
	year = {2019},
	pages = {389--402}
}

@book{lynch_introduction_2007,
	title = {Introduction to applied {Bayesian} statistics and estimation for social scientists},
	isbn = {0-387-71265-8},
	publisher = {Springer Science \& Business Media},
	author = {Lynch, Scott M.},
	year = {2007}
}

@book{gelman_bayesian_2013,
	title = {Bayesian data analysis},
	isbn = {1-4398-4095-4},
	publisher = {CRC press},
	author = {Gelman, Andrew and Carlin, John B. and Stern, Hal S. and Dunson, David B. and Vehtari, Aki and Rubin, Donald B.},
	year = {2013}
}

@book{jaynes_probability_2003,
	title = {Probability theory: {The} logic of science},
	isbn = {1-139-43516-7},
	publisher = {Cambridge university press},
	author = {Jaynes, Edwin T},
	year = {2003}
}

@book{kaplan_bayesian_2014,
	title = {Bayesian statistics for the social sciences},
	isbn = {1-4625-1667-X},
	publisher = {Guilford Publications},
	author = {Kaplan, David},
	year = {2014}
}

@article{sorensen_bayesian_2016,
	title = {Bayesian linear mixed models using {Stan}: {A} tutorial for psychologists, linguists, and cognitive scientists},
	volume = {12},
	doi = {10.20982/tqmp.12.3.p175},
	number = {3},
	journal = {The Quantitative Methods for Psychology},
	author = {Sorensen, Tanner and Hohenstein, Sven and Vasishth, Shravan},
	year = {2016},
	pages = {175--200}
}

@book{ntzoufras_bayesian_2011,
	title = {Bayesian modeling using {WinBUGS}},
	volume = {698},
	isbn = {1-118-21035-2},
	publisher = {John Wiley \& Sons},
	author = {Ntzoufras, Ioannis},
	year = {2011}
}

@book{press_subjective_2009,
	title = {Subjective and objective {Bayesian} statistics: principles, models, and applications},
	volume = {590},
	isbn = {0-470-31794-9},
	publisher = {John Wiley \& Sons},
	author = {Press, S James},
	year = {2009}
}

@book{kruschke_doing_2010,
	title = {Doing {Bayesian} data analysis: {A} tutorial with {R} and {BUGS}},
	isbn = {0-12-405916-3},
	publisher = {Academic Press},
	author = {Kruschke, John K},
	year = {2010}
}

@book{lindley_understanding_2013,
	title = {Understanding uncertainty},
	isbn = {1-118-65012-3},
	publisher = {John Wiley \& Sons},
	author = {Lindley, Dennis V},
	year = {2013}
}

@article{de_finetti_foresight:_1937,
	title = {Foresight: {Its} {Logical} {Laws}, {Its} {Subjective} {Sources}},
	author = {{de Finetti}, B},
	year = {1937}
}

@book{freund_john_2004,
	title = {John {E}. {Freund}'s {Mathematical} {Statistics}: {With} {Applications}},
	isbn = {81-7758-755-2},
	publisher = {Pearson Education India},
	author = {Freund, John E and Miller, Irwin and Miller, Marylees},
	year = {2004}
}

@article{kennedy_experiment_2019,
	title = {The experiment is just as important as the likelihood in understanding the prior: {A} cautionary note on robust cognitive modelling},
	journal = {arXiv preprint arXiv:1905.10341},
	author = {Kennedy, Lauren and Simpson, Daniel and Gelman, Andrew},
	year = {2019}
}

@article{goldstein_subjective_2006,
	title = {Subjective {Bayesian} analysis: principles and practice},
	volume = {1},
	issn = {1936-0975},
	number = {3},
	journal = {Bayesian analysis},
	author = {Goldstein, Michael},
	year = {2006},
	pages = {403--420}
}

@article{tuyl_comparison_2008,
	title = {A comparison of {Bayes}-{Laplace}, {Jeffreys}, and other priors: the case of zero events},
	volume = {62},
	issn = {0003-1305},
	number = {1},
	journal = {The American Statistician},
	author = {Tuyl, Frank and Gerlach, Richard and Mengersen, Kerrie},
	year = {2008},
	pages = {40--44}
}

@misc{cambridge_english_dictionary_expert_2019,
	title = {Expert {\textbar} meaning in the {Cambridge} {English} {Dictionary}},
	url = {https://dictionary.cambridge.org/dictionary/english/expert},
	abstract = {expert definition: 1. a person with a high level of knowledge or skill relating to a particular subject or activity…. Learn more.},
	language = {en},
	urldate = {2019-11-05},
	author = {{Cambridge English Dictionary}},
	year = {2019},
	file = {Snapshot:C\:\\Users\\Administrator\\Zotero\\storage\\KTG4BMI6\\expert.html:text/html}
}

@book{albert_bayesian_2009,
	title = {Bayesian computation with {R}},
	isbn = {0-387-92298-9},
	publisher = {Springer Science \& Business Media},
	author = {Albert, Jim},
	year = {2009}
}

@article{mcshane_abandon_2019,
	title = {Abandon statistical significance},
	volume = {73},
	issn = {0003-1305},
	number = {sup1},
	journal = {The American Statistician},
	author = {McShane, Blakeley B and Gal, David and Gelman, Andrew and Robert, Christian and Tackett, Jennifer L},
	year = {2019},
	pages = {235--245}
}

@article{ioannidis_importance_2019,
	title = {The importance of predefined rules and prespecified statistical analyses: {Do} not abandon significance},
	volume = {321},
	issn = {0098-7484},
	number = {21},
	journal = {Jama},
	author = {Ioannidis, John PA},
	year = {2019},
	pages = {2067--2068}
}

@article{benjamin_redefine_2018,
	title = {Redefine statistical significance},
	volume = {2},
	issn = {2397-3374},
	number = {1},
	journal = {Nature Human Behaviour},
	author = {Benjamin, Daniel J and Berger, James O and Johannesson, Magnus and Nosek, Brian A and Wagenmakers, E-J and Berk, Richard and Bollen, Kenneth A and Brembs, Björn and Brown, Lawrence and Camerer, Colin},
	year = {2018},
	pages = {6}
}

@article{amrhein_remove_2018,
	title = {Remove, rather than redefine, statistical significance},
	volume = {2},
	issn = {2397-3374},
	number = {1},
	journal = {Nature Human Behaviour},
	author = {Amrhein, Valentin and Greenland, Sander},
	year = {2018},
	pages = {4}
}

@article{trafimow_manipulating_2018,
	title = {Manipulating the alpha level cannot cure significance testing},
	volume = {9},
	journal = {Frontiers in Psychology},
	author = {Trafimow, David and Amrhein, Valentin and Areshenkoff, Corson N and Barrera-Causil, Carlos J and Beh, Eric J and Bilgiç, Yusuf K and Bono, Roser and Bradley, Michael T and Briggs, William M and Cepeda-Freyre, Héctor A},
	year = {2018}
}