Recommendations on the Use of Bayesian Optimal Designs for Choice Experiments

Roselinde Kessels, Bradley Jones, Peter Goos*, Martina Vandebroek

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


In this paper, we argue that some of the prior parameter distributions used in the literature for the construction of Bayesian optimal designs are internally inconsistent. We provide practical advice on how to properly specify the prior parameter distribution. Also, we present an example to illustrate that Bayesian optimal designs generally outperform utility‐neutral optimal designs that are based on linear design principles. Copyright (c) 2008 John Wiley & Sons, Ltd.
Original languageEnglish
Pages (from-to)737-744
Number of pages8
JournalQuality and Reliability Engineering International
Issue number6
Publication statusPublished - Oct 2008
Externally publishedYes
Event7th Annual Meeting of the European Network of Business and Industrial Statistics - Dortmund, Germany
Duration: 24 Sept 200726 Sept 2007
Conference number: 7


  • choice experiments
  • Bayesian optimal designs
  • prior Parameter distribution
  • utility-neutral optimal designs

Cite this