Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.
Lei Yang, a researcher in computer vision and large-scale language models (LLM), has presented a new generative AI model called ' DDN (Discrete Distribution Networks),' which has simple principles and ...
Majorisation is used to compare discrete distributions in terms of randomness or, equivalently, informativeness. Some properties of measures of randomness are discussed. The effect on degree of ...
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 ...
A study is made of the simple empirical Bayes estimators proposed by Robbins (1956). These estimators are compared with `best' conventional estimators in terms of ...
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