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Title: GitHub - maxbiostat/BayesianStatisticsCourse: PhD-level course at [EMAp](https://emap.fgv.br/en)

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slideshttps://github.com/maxbiostat/BayesianStatisticsCourse/blob/main/slides/bayes_stats.pdf
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#pre-requisites
Jeff Rosenthalhttp://probability.ca/jeff/
A First Look at Rigorous Probability Theoryhttp://probability.ca/jeff/grprobbook.html
Mathematical Statisticshttps://emap.fgv.br/disciplina/doutorado/mathematical-statistics
Theory of Statisticshttps://www.springer.com/gp/book/9780387945460
Mark Schervishhttp://www.stat.cmu.edu/people/faculty/mark-schervish
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#books
The Bayesian Choicehttps://link.springer.com/book/10.1007/0-387-71599-1
Christian Roberthttps://stats.stackexchange.com/users/7224/xian
A first course in Bayesian statistical methodshttps://pdhoff.github.io/book/
Peter Hoffhttps://stat.duke.edu/research/hoff#:~:text=Hoff,-Professor%20of%20Statistical&text=Peter%20Hoff%20develops%20statistical%20methodology,area%20inference%2C%20and%20multigroup%20analysis.
Theory of Statisticshttps://link.springer.com/book/10.1007/978-1-4612-4250-5
Mark Schervishhttps://www.cmu.edu/dietrich/statistics-datascience/people/faculty/mark-schervish.html
Bayesian Theoryhttps://onlinelibrary.wiley.com/doi/book/10.1002/9780470316870
José Bernardohttps://www.uv.es/bernardo/
Adrian Smithhttps://en.wikipedia.org/wiki/Adrian_Smith_(statistician)
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#resources
herehttps://arxiv.org/pdf/2004.06425.pdf
course noteshttps://github.com/rbstern/bayesian_inference_book/raw/gh-pages/book.pdf
coursehttps://www.rafaelstern.science/classes/2021_1_bayes/
Principles of Uncertaintyhttps://www.taylorfrancis.com/books/principles-uncertainty-joseph-kadane/10.1201/9781315167565
J. Kadanehttps://en.wikipedia.org/wiki/Joseph_Born_Kadane
thishttps://www.ceremade.dauphine.fr/~xian/uncertain.pdf
Bayesian Learninghttps://github.com/mattiasvillani/BayesLearnCourse
Mattias Vilanihttps://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse/blob/main/mattiasvillani.com
thishttps://betanalpha.github.io/assets/case_studies/principled_bayesian_workflow.html#1_Questioning_Authority
Awesome Bayeshttps://github.com/hectormz/awesome-bayes
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#acknowledgements
Guido Moreirahttp://github.com/GuidoAMoreira/
Isaque Pimhttps://github.com/isaquepim
Lucas Moschenhttps://github.com/lucasmoschen
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#exercises
herehttps://github.com/maxbiostat/BayesianStatisticsCourse/blob/main/exercises/BC_exercises.md
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herehttps://github.com/maxbiostat/BayesianStatisticsCourse/blob/main/assignments/discussion_papers.md
filehttps://github.com/maxbiostat/BayesianStatisticsCourse/blob/main/assignments/bayes_2024.bib
availablehttps://github.com/maxbiostat/BayesianStatisticsCourse/blob/main/assignments/2024_A2.pdf
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#syllabus
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#lecture-0-overview
vignettehttps://cran.r-project.org/web/packages/LaplacesDemon/vignettes/BayesianInference.pdf
What is a statistical model?https://projecteuclid.org/journals/annals-of-statistics/volume-30/issue-5/What-is-a-statistical-model/10.1214/aos/1035844977.full
Interpretations of Probabilityhttps://plato.stanford.edu/entries/probability-interpret/
WHAT IS BAYESIAN/FREQUENTIST INFERENCE?https://normaldeviate.wordpress.com/2012/11/17/what-is-bayesianfrequentist-inference/
Larry Wassermanhttps://www.stat.cmu.edu/~larry/
cross-validated posthttps://stats.stackexchange.com/questions/444080/a-measure-theoretic-formulation-of-bayes-theorem
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#lecture-1-principled-inference-decision-theoretical-foundations
monographhttps://errorstatistics.files.wordpress.com/2016/04/berger-wolpert-1988.pdf
Likelihood Principlehttps://en.wikipedia.org/wiki/Likelihood_principle
thishttps://arxiv.org/pdf/1906.10733.pdf
Birnbaum (1962)https://www.tandfonline.com/doi/abs/10.1080/01621459.1962.10480660
paperhttps://link.springer.com/content/pdf/10.1007/978-1-4612-0919-5_31.pdf
Evans, Fraser & Monette (1986)https://errorstatistics.files.wordpress.com/2017/12/evans-fraser-monette-1986.pdf
Evans, 2013https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-7/issue-none/What-does-the-proof-of-Birnbaums-theorem-prove/10.1214/13-EJS857.full
challengedhttps://projecteuclid.org/journals/statistical-science/volume-29/issue-2/On-the-Birnbaum-Argument-for-the-Strong-Likelihood-Principle/10.1214/13-STS457.full
Cross-Validatehttps://stats.stackexchange.com/questions/379798/did-deborah-mayo-refute-birnbaums-proof-of-the-likelihood-principle
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#lecture-2-belief-functions-coherence-exchangeability
English translationhttps://arxiv.org/abs/1512.01229
paperhttp://www.brunodefinetti.it/Opere/funzioneCaratteristica.pdf
Heath and Sudderth (1976)https://www.tandfonline.com/doi/abs/10.1080/00031305.1976.10479175?journalCode=utas20
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#lecture-3-priors-i-rationale-and-construction-conjugate-analysis
SHeffield ELicitation Framework (SHELF)http://tonyohagan.co.uk/shelf/
compendiumhttps://www.johndcook.com/CompendiumOfConjugatePriors.pdf
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#lecture-4-priors-ii-types-of-priors-implementation
Hidden Dangers of Specifying Noninformative Priorshttps://www.tandfonline.com/doi/abs/10.1080/00031305.2012.695938
The Prior Can Often Only Be Understood in the Context of the Likelihoodhttps://www.mdpi.com/1099-4300/19/10/555
Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priorshttps://projecteuclid.org/journals/statistical-science/volume-32/issue-1/Penalising-Model-Component-Complexity--A-Principled-Practical-Approach-to/10.1214/16-STS576.full
The Case for Objective Bayesian Analysishttps://www.ime.usp.br/~abe/lista/pdfTFOW5ADDD0.pdf
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#lecture-5-bayesian-point-estimation
The Federalist Papers As a Case Studyhttps://link.springer.com/chapter/10.1007/978-1-4612-5256-6_1
"The Theory That Would Not Die"https://www.amazon.com/Theory-That-Would-Not-Die/dp/0300188226
Thishttps://statmodeling.stat.columbia.edu/2011/01/31/using_sample_si/
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#lecture-6-bayesian-testing-i
paperhttps://www.tandfonline.com/doi/abs/10.1080/01621459.1995.10476572
Robert Kasshttp://www.stat.cmu.edu/people/faculty/rob-kass
Adrian Rafteryhttps://sites.stat.washington.edu/raftery/
Thishttps://arxiv.org/pdf/1303.5973.pdf
Thishttps://link.springer.com/content/pdf/10.1007/s00407-022-00298-3.pdf
Wagenmakershttps://www.ejwagenmakers.com/
Jayneshttps://en.wikipedia.org/wiki/Edwin_Thompson_Jaynes
Confidence Intervals vs Bayesian Intervalshttps://link.springer.com/chapter/10.1007/978-94-009-6581-2_9
PDFhttps://link.springer.com/content/pdf/10.1007/978-94-010-1436-6_6.pdf
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#lecture-7-bayesian-testing-ii
Thishttps://www.tandfonline.com/doi/pdf/10.1080/00031305.1999.10474443?casa_token=PvYUGVh0CjwAAAAA:B6UnfgSkoeUNQ5g4nh-D0DxaLTLAOOuoa2I37u33xdxIlair84fSzUuKUcsnHlC24BjRlfWWEcgZ3Q
Yao et al. (2018)https://projecteuclid.org/journals/bayesian-analysis/volume-13/issue-3/Using-Stacking-to-Average-Bayesian-Predictive-Distributions-with-Discussion/10.1214/17-BA1091.full
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#lecture-8-asymptotics
entryhttps://encyclopediaofmath.org/wiki/Bernstein-von_Mises_theorem
INLAhttps://www.r-inla.org/
Thishttps://arxiv.org/pdf/1210.0333.pdf
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#lecture-9-applications-i
thishttps://pluto.mscc.huji.ac.il/~galelidan/52558/Material/Raftery.pdf
thishttps://stats.stackexchange.com/questions/113851/bayesian-estimation-of-n-of-a-binomial-distribution
Thishttps://mc-stan.org/users/documentation/case-studies/golf.html
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#lecture-10-applications-ii
Reporting Bayesian Resultshttps://journals.sagepub.com/doi/abs/10.1177/0193841X20977619?journalCode=erxb
Visualization in Bayesian workflowhttps://rss.onlinelibrary.wiley.com/doi/abs/10.1111/rssa.12378
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#lecture-11-discussion-bayes-vs-frequentism
Frequentism and Bayesianism: A Practical Introductionhttps://jakevdp.github.io/blog/2014/03/11/frequentism-and-bayesianism-a-practical-intro/
Why isn't everyone a Bayesian?https://www2.stat.duke.edu/courses/Spring10/sta122/Handouts/EfronWhyEveryone.pdf
Bradley Efronhttps://statweb.stanford.edu/~ckirby/brad/
Holes in Bayesian statisticshttps://iopscience.iop.org/article/10.1088/1361-6471/abc3a5#:~:text=Here%20are%20a%20few%20holes,Bayes%20factors%20fail%20in%20the
Bayesian Estimation with Informative Priors is Indistinguishable from Data Falsificationhttps://www.cambridge.org/core/journals/spanish-journal-of-psychology/article/bayesian-estimation-with-informative-priors-is-indistinguishable-from-data-falsification/FFAB96BDC5EE3C64B144ECF8F90F31E9
https://patch-diff.githubusercontent.com/maxbiostat/BayesianStatisticsCourse#computational-resources
summer coursehttps://github.com/maxbiostat/computing_applied_bayes
bloghttps://darrenjw.wordpress.com/2013/09/29/parallel-tempering-and-metropolis-coupled-mcmc/
multimodal Cauchy examplehttps://github.com/maxbiostat/BayesianStatisticsCourse/blob/main/code/cauchy_bimodal_PT.r
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