Conditional Independence of Events
Paul E. Pfeiffer · Birkhäuser Boston eBooks · 1979
In setting up a probability model for a system under study, the modeler utilizes all available prior knowledge about the system to determine probability assignments to appropriate events. This knowledge may be obtained from systematic statistical study, or from mathematical deductions based on assumptions supported by experience or experiment, or, less formally, from the judgment of a decision maker. These probability assignments serve to determine a prior probability measure. The probability P(A) of an event A provides a measure of the likelihood of the occurrence of this event. 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.