Bayes and MCMC for Undergraduates
Abstract
Students of statistics should be taught the ideas and methods that are widely used in practice and that will help them understand the world of statistics. Today, this means teaching them about Bayesian methods. In this article, I present ideas on teaching an undergraduate Bayesian course that uses Markov chain Monte Carlo and that can be a second course or, for strong students, a first course in statistics.
Repository Citation
Witmer, Jeffrey. 2017. “Bayes and MCMC for Undergraduates.” The American Statistician 71(3): 259-264.
Publisher
Taylor & Francis
Publication Date
3-30-2017
Publication Title
The American Statistician
Department
Mathematics
Document Type
Article
DOI
https://dx.doi.org/10.1080/00031305.2017.1305289
Keywords
Bayesian inference, Education, Markov chain Monte Carlo
Language
English
Format
text