Beginning Bayes | Zendy

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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.

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