Event Prediction Method

Event prediction methods aim to anticipate future real-world occurrences by identifying relationships between past and future events. Current research focuses on developing and refining statistical and machine learning models, such as negative binomial regression, to improve prediction accuracy across various domains, including emergency response and disaster management. These advancements are crucial for optimizing resource allocation, mitigating negative consequences, and enhancing preparedness in numerous sectors. The field is actively working towards a more unified understanding of diverse methodologies to facilitate knowledge sharing and improve predictive capabilities.