Bayesian Experimental Design: A Review
Open Access
- 1 August 1995
- journal article
- review article
- Published by Institute of Mathematical Statistics in Statistical Science
- Vol. 10 (3) , 273-304
- https://doi.org/10.1214/ss/1177009939
Abstract
This paper reviews the literature on Bayesian experimental design, both for linearand nonlinear models. A unified view of the topic is presented by putting experimentaldesign in a decision theoretic framework. This framework justifies many optimalitycriteria, and opens new possibilities. Various design criteria become part of a single,coherent approach.Key-words and Phrases: Decision Theory. Hierarchical Linear Models. Logistic Regression.Nonlinear Design. Nonlinear Models. Optimal...Keywords
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