As with all probability distributions, the Normal Distribution describes how the values of your data are distributed. Subsequently, it is one of the most important probability distributions in ...
where \(\mathsf{G}(\cdot)\) is some convex operator and \(\mathcal{F}\) is as set of feasible input distributions. Examples of such an optimization problem include finding capacity in information ...
Sankhyā: The Indian Journal of Statistics, Series A (1961-2002), Vol. 49, No. 1 (Feb., 1987), pp. 17-23 (7 pages) In this paper we discuss the differential geometric properties induced by the ...
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