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Abstract:

vector of constants, and where is the zero-vector. In writing, the, and dependence is assumed. The second component of the general CF may be nonzero (see App. G). However, for the moment there is no need to present the full definition of the CF's encompassing nonzero; for now should be taken simply as an algebraic object with certain useful properties (these properties are formally justified in App. G). The reader should be aware though that in general, for nonzero, represents a set of expressions; i.e. does not uniquely specify a single expression. (I.e., it does not uniquely specify a function of t, t and the a

Citations

99 Special Functions and Their Applications – Lebedev - 1972
37 Mutual information functions versus correlation functions – Li - 1990
21 Coding and Information Theory, 2nd Ed – Hamming - 1986
17 Maximum entropy methods in image processing – SF, Skilling - 1984
12 An introduction to chaos and randomness – Eubank, Farmer - 1990
7 Probability and Statistics, 2nd Ed – DeGroot - 1986
4 Note that Watanabe's multidimensional generalization of the mutual information function, appearing in Chap. 6.5, may also be estimated using the techniques of this paper – Watanabe, Recognition, et al. - 1985
3 the Entropic Prior – Strauss, Wolf, et al. - 1993
3 and R.L.Walker – Mathews - 1970
2 93-833 50 SFI TR-93-07-047 M – LA-UR - 1972