REAL-TIME FORECASTING MODELS BASED ON THE POISSON DISTRIBUTION

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.

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Publication Details

Published
2025-04-14
DOI
https://doi.org/10.58168/cismp2024_753-756
Primary Topic
Advanced Computational Techniques and Applications
Type
article
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article

REAL-TIME FORECASTING MODELS BASED ON THE POISSON DISTRIBUTION

Nadezhda Yudina, K. Svaryan
Advanced Computational Techniques and Applications
article

REAL-TIME FORECASTING MODELS BASED ON THE POISSON DISTRIBUTION

Nadezhda Yudina, K. Svaryan
article en

Abstract

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.

Voronezh State University of Forestry and Technologies (RU)
Openalex Percentile: Top 97%
Advanced Computational Techniques and Applications
DOIOpen Access PDFOpenAlex
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REAL-TIME FORECASTING MODELS BASED ON THE POISSON DISTRIBUTION — Nadezhda Yudina, K. Svaryan · (2025) | TGRS Research Map | TGRS