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

1 Economic and Technical Research Institute of State Grid Shaanxi Electric Power Company, Xi’an, China 2 Shaanxi Local Electric Power (Group) Co., Ltd., Xi’an, China Accurate prediction of goaf ...

The mean, also known as the expected value, of a discrete probability distribution is a fundamental concept in statistics and probability theory. It represents the average outcome you would expect if ...

According to Andrej Karpathy, the application of discrete diffusion models to text generation offers a simple yet powerful alternative to traditional autoregressive methods, as illustrated in his ...

Abstract: Training a machine learning model with imbalanced data might introduce bias, significantly reducing the model's ability to generate precise predictions. Thus, ensuring sample balance is ...

Based on the compounding mechanism, a unique discrete probability distribution is investigated in this paper. The Poisson distribution is mixed with a lifetime model called as the Fav-Jerry model. The ...

In recent months, there has been growing interest in applying diffusion models—originally designed for continuous data, such as images—to natural language processing tasks. This has led to the ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. Joint probability teaches us to calculate combined outcomes.