This track focuses on the latest developments in probability theory as applied to extreme event analysis. Researchers are invited to present innovative methodologies that enhance our understanding of rare and impactful occurrences.

This session will explore statistical modeling techniques that are pivotal in risk management across various domains. Contributions that demonstrate the application of these models in real-world scenarios are particularly encouraged.

This track aims to address the statistical approaches used in predicting extreme climate events. Participants will discuss the integration of statistical models with climate data to improve forecasting accuracy.

This session will delve into the application of statistical methods in assessing and managing financial risks. Papers that highlight innovative quantitative approaches to financial uncertainty are welcome.

This track focuses on the role of environmental statistics in assessing risks associated with extreme environmental events. Contributions that utilize statistical tools to analyze environmental data are encouraged.

This session will highlight the use of simulation techniques in modeling extreme events and their impacts. Researchers are invited to present novel simulation approaches that enhance predictive capabilities.