REAL-TIME FORECASTING MODELS BASED ON THE POISSON DISTRIBUTION
K. Svaryan, Nadezhda Yudina · 2025
The article will explore the main theoretical aspects of the Poisson distribution and its application for event forecasting. We will examine the process of developing such models, algorithms for real-time data processing, and software tools that enable their implementation. Additionally, we will discuss examples of using these models in real-world conditions, as well as their advantages and limitations.