Organodynamics	Grant Holland, Apr 25, 2014
Slide: Some Ideas and Viewpoints I Want to Highlight…continued.	Nav Refs Top Bottom Previous Next 90m 90m 45m 45m 25m 25m
Information Theory There is precedent, and good reason, for distinguishing information theory from communications theory. It is reasonable to define information theory as a branch of probability theory that studies entropic functionals, including statistical entropy.	According to this view, information theory is a sibling to mathematical statistics – both providing ways to characterize chance variation. Whereas, information theory concerns entropic functionals, the “sweet spot” of mathematical statistics is moments and central moments.
Random variables The strict meaning of “random variable” requires a mapping from the sample space to the real numbers. There are some highly complex probability spaces for which such a mapping does not make sense, or have semantic utility. The theory presented operates on such spaces.	The literature on stochastic processes emphasizes the random variable assumption, and is therefore not particularly helpful to organodynamic theory and applications.

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