Conditional Independence of Events

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


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.


Product Rule Conditional Independence Play Computer Game National Market Probable Inference 
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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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