Probability Distribution Methods to Predict Stock Profits

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.
GIGAZINE

DDN (Discrete Distribution Networks) is a new generative AI model with simple principles and unique properties.

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 ...
Princeton University

Convex Optimization Over Probability Spaces

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 ...
JSTOR Daily

Smooth Empirical Bayes Estimation for One-Parameter Discrete Distributions

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 ...
Risk

A note on the Berkowitz test with discrete distributions

Berkowitz (2001) suggested a powerful and popular density test based on a probability integral transformation. For the probability integral transformation to work properly the original distribution ...
JSTOR Daily

Linear Rank Test of Independence in the Bivariate Model of Continuous and Discrete Distributions

This is a preview. Log in through your library . The Indian Statistical Institute (ISI), is a unique P. C. Mahalanobish institution devoted to the research, teaching and application of statistics, ...