By Topic

Conservative Bayes experimental design

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Canfield, R.V. ; Dept. of Math. & Stat., Utah State Univ., Logan, UT, USA

A major difficulty in applying Bayes methods is the potential for lack of objectivity when quantifying prior information. Existing Bayes design theory for acceptance/demonstration tests is heuristically examined for sensitivity of the design to changes in the prior distribution. The changes considered are associated with location and shape (information content) of the prior. The concept of a risk-conservative prior is developed as a means of controlling unintentional introduction of subjective prejudice in the choice of prior. The intuitive notion of conservatism in Bayes estimation (a broad flat prior has less influence than a more peaked prior) does not carry into design. It is shown that definition of a conservative prior in experimental design requires an understanding of the effects of changing the prior location and shape on the resulting Bayes risk, and conditional consumer and producer risks. A modified minimax principle is used to simplify prior choice

Published in:

Reliability, IEEE Transactions on  (Volume:41 ,  Issue: 4 )