Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.
Two sufficient conditions for a two-dimensional discrete distribution to be strongly unimodal are given. The conditions apply to the marginals of a 2 × 2 contingency table with the total N given, and ...
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 ...
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