Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Count data modelling comprises a suite of statistical techniques dedicated to analysing non-negative integer-valued observations. Such data often arise in a variety of contexts including epidemiology, ...

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 ...

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 ...

In the world of data analysis and statistics, continuous and discrete data play fundamental roles. These two types of quantitative data serve different purposes as people use them to draw valuable ...