Bayes for undergrads

Philip Ender ()

2018 Stata Conference from Stata Users Group

Abstract: Teaching markov chain monte carlo bayesian methods to undergraduates can be challenging because they, for the most part, are not familiar with advanced methodologies such as multilevel models, IRT or other analytical methods that are commonly found in bayesian analyses. Â However, almost every undergraduate is familiar with the t-test. Â This presentation will use Stata's bayesmh command to perform a two-sample independent t-test. Â We will discuss the advantages to using a bayesian approach to perform t-test type analyses and compare the output/results to the traditional frequentist t-test.

Date: 2018-08-02
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/scon2018/columbus18_Ender.pdf

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:scon18:1

Access Statistics for this paper

More papers in 2018 Stata Conference from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().