Simulation-based Bayesian inference using BUGS

Ching Fan Sheu; Suzanne L. O'Curry

doi:10.3758/BF03200649

Simulation-based Bayesian inference using BUGS

Ching Fan Sheu
, Suzanne L. O'Curry

Institute of Education

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	232-237
Number of pages	6
Journal	Behavior Research Methods, Instruments, and Computers
Volume	30
Issue number	2
DOIs	https://doi.org/10.3758/BF03200649
Publication status	Published - 1998

All Science Journal Classification (ASJC) codes

Experimental and Cognitive Psychology
Psychology (miscellaneous)
General Psychology

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Simulation-based Bayesian inference using BUGS

Abstract

All Science Journal Classification (ASJC) codes

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