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Conditional Independence of Events

Chapter
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Part of the Springer Texts in Statistics book series (STS)

Abstract

In Chapter 4, we introduced a mathematically simple characterization of stochastic independence to model the lack of conditioning between two events. Independence is assumed for events that are the result of operationally independent actions or processes. In some cases, however, closer examination of the operational independence shows a “conditioning” by some common chance factor. If this common condition exists, the processes affecting the events may then be operationally independent. This suggests the need for some modification of the concept of stochastic independence.

Keywords

Product Rule Conditional Independence Play Computer Game National Market Probable Inference 
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-Verlag New York Inc. 1990

Authors and Affiliations

  1. 1.Department of Mathematical SciencesRice UniversityHoustonUSA

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