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Controlled Versus “Random” Experiments: A Principle

  • Werner G. MüllerEmail author
  • Henry P. Wynn
Conference paper
Part of the Contributions to Statistics book series (CONTRIB.STAT.)

Abstract

The contrast and tension between controlled experiment and passive observation is an old area of debate to which philosophers of science have made contributions. This paper is a discussion of the issue in the context of modern Bayesian optimal experimental design. It is shown with simple examples that a mixture of controlled and less controlled experiments can be optimal, and this is stated as a general principle. There is a short discussion of a wider theory in the last section.

Keywords

Shannon Information Optimal Experimental Design Passive Observation Determinental Identity Optimum Allocation Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Applied StatisticsJohannes Kepler UniversityLinzAustria
  2. 2.Department of StatisticsLondon School of EconomicsLondonUK

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