Simulation-based Bayesian inference using BUGS

Ching Fan Sheu, Suzanne L. O'Curry

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


We illustrate the application of BUGS, a Bayesian computer program, with two examples. The algorithm used in the program is a popular Markov chain Monte Carlo procedure called Gibbs sampling. Bayesian analysis based on simulation has been applied to a wide range of complex problems (Gilks, Richardson, & Spiegelhalter, 1996). The availability of a general purpose program like BUGS should facilitate important applications of Bayesian inference in psychological research.

Original languageEnglish
Pages (from-to)232-237
Number of pages6
JournalBehavior Research Methods, Instruments, and Computers
Issue number2
Publication statusPublished - 1998

All Science Journal Classification (ASJC) codes

  • Experimental and Cognitive Psychology
  • Psychology (miscellaneous)
  • Psychology(all)


Dive into the research topics of 'Simulation-based Bayesian inference using BUGS'. Together they form a unique fingerprint.

Cite this