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Beginning Bayes
Author(s) -
Erickson Tim
Publication year - 2017
Publication title -
teaching statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.425
H-Index - 13
eISSN - 1467-9639
pISSN - 0141-982X
DOI - 10.1111/test.12121
Subject(s) - conditional probability , bayes' theorem , bayesian probability , perspective (graphical) , computer science , context (archaeology) , bayesian statistics , simple (philosophy) , bayes' rule , posterior probability , bayes factor , bayesian inference , artificial intelligence , machine learning , econometrics , mathematics , statistics , epistemology , philosophy , paleontology , biology
Summary Understanding a Bayesian perspective demands comfort with conditional probability and with probabilities that appear to change as we acquire additional information. This paper suggests a simple context in conditional probability that helps develop the understanding students would need for a successful introduction to Bayesian reasoning.