Bibliografia#
J Scott Armstrong and Kesten C Green. The Scientific Method: A Guide to Finding Useful Knowledge. Cambridge University Press, 2022.
Gregory Belenky, Nancy J Wesensten, David R Thorne, Maria L Thomas, Helen C Sing, Daniel P Redmond, Michael B Russo, and Thomas J Balkin. Patterns of performance degradation and restoration during sleep restriction and subsequent recovery: a sleep dose-response study. Journal of Sleep Research, 12(1):1–12, 2003.
Michael Betancourt. Diagnosing suboptimal cotangent disintegrations in hamiltonian monte carlo. arXiv preprint arXiv:1604.00695, 2016.
G. E. Box, A. Luceno, and M. del Carmen Paniagua-Quinones. Statistical control by monitoring and adjustment. John Wiley and Sons, 2011.
Naomi C Brownstein, Thomas A Louis, Anthony O’Hagan, and Jane Pendergast. The role of expert judgment in statistical inference and evidence-based decision-making. The American Statistician, 73(sup1):56–68, 2019.
Katherine Anne Comtois, Karin E Hendricks, Christopher R DeCou, Samantha A Chalker, Amanda H Kerbrat, Jennifer Crumlish, Tierney K Huppert, and David Jobes. Reducing short term suicide risk after hospitalization: a randomized controlled trial of the collaborative assessment and management of suicidality. Journal of affective disorders, 320:656–666, 2023.
Bruno De Finetti. Theory of probability: A critical introductory treatment. Volume 6. John Wiley & Sons, 2017.
Van Rens de Schoot, Duco Veen, Laurent Smeets, and Sonja Winter. A tutorial on using the wambs checklist to avoid the misuse of bayesian statistics. 2020.
Alexander Etz, Quentin F Gronau, Fabian Dablander, Peter A Edelsbrunner, and Beth Baribault. How to become a bayesian in eight easy steps: an annotated reading list. Psychonomic bulletin & review, 25(1):219–234, 2018.
Peter C Fishburn. The axioms of subjective probability. Statistical Science, 1(3):335–345, 1986.
David C Funder and Daniel J Ozer. Evaluating effect size in psychological research: sense and nonsense. Advances in Methods and Practices in Psychological Science, 2(2):156–168, 2019.
Andrew Gelman and Bob Carpenter. Bayesian analysis of tests with unknown specificity and sensitivity. Journal of the Royal Statistical Society Series C: Applied Statistics, 69(5):1269–1283, 2020.
Andrew Gelman and Cosma Rohilla Shalizi. Philosophy and the practice of bayesian statistics. British Journal of Mathematical and Statistical Psychology, 66(1):8–38, 2013.
Edward Gibson and H-H Iris Wu. Processing chinese relative clauses in context. Language and Cognitive Processes, 28(1-2):125–155, 2013.
Jeff Gill. Bayesian methods: A social and behavioral sciences approach. Chapman and Hall/CRC, 3rd edition edition, 2015.
Lewis R Goldberg and Jennifer J Freyd. Self-reports of potentially traumatic experiences in an adult community sample: gender differences and test-retest stabilities of the items in a brief betrayal-trauma survey. Journal of trauma & dissociation, 7(3):39–63, 2006.
Tabea Hoffmann, Abe Hofman, and Eric-Jan Wagenmakers. Bayesian tests of two proportions: a tutorial with r and jasp. Methodology, 18(4):239–277, 2022.
Colin Howson and Peter Urbach. Scientific reasoning: the Bayesian approach. Open Court Publishing, 2006.
Edwin T Jaynes. Probability theory: The logic of science. Cambridge University Press, 2003.
David Kaplan. Bayesian statistics for the social sciences. Guilford Publications, 2023.
John Kruschke. Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan. Academic Press, 2014.
Dennis V Lindley. Understanding uncertainty. John Wiley & Sons, 2013.
Osvaldo Martin. Bayesian analysis with python. Packt Publishing Ltd, 2024.
Ulrich Matter. Data Analysis with AI and R. Manning Publications, New York, NY, 1st edition edition, 2025.
Richard McElreath. Statistical rethinking: A Bayesian course with examples in R and Stan. CRC Press, Boca Raton, Florida, 2nd edition edition, 2020.
Anthony O'Hagan. Expert knowledge elicitation: subjective but scientific. The American Statistician, 73(sup1):69–81, 2019.
Judea Pearl. Causality. Cambridge University Press, 2009.
S James Press. Subjective and objective Bayesian statistics: Principles, models, and applications. John Wiley & Sons, 2009.
Frank P Ramsey. Truth and probability. In Readings in Formal Epistemology: Sourcebook, pages 21–45. Springer, 1926.
Julia M Rohrer. Thinking clearly about correlations and causation: graphical causal models for observational data. Advances in methods and practices in psychological science, 1(1):27–42, 2018.
Cody T Ross, Bruce Winterhalder, and Richard McElreath. Racial disparities in police use of deadly force against unarmed individuals persist after appropriately benchmarking shooting data on violent crime rates. Social Psychological and Personality Science, 12(3):323–332, 2021.
Aaron J Spector. Expectations, fulfillment, and morale. The Journal of Abnormal and Social Psychology, 52(1):51–56, 1956.
Craig P Speelman, Laura Parker, Benjamin J Rapley, and Marek McGann. Most psychological researchers assume their samples are ergodic: evidence from a year of articles in three major journals. Collabra: Psychology, 2024.
Matthew M Yalch. Applying bayesian statistics to the study of psychological trauma: a suggestion for future research. Psychological Trauma: Theory, Research, Practice, and Policy, 8(2):249–257, 2016.
Tal Yarkoni. The generalizability crisis. Behavioral and Brain Sciences, 45:e1, 2022.