Sequential Correlation Estimation

Sequential Correlation Estimation is a statistical method designed to estimate the dynamic relationships between variables by analyzing the correlation structure in time series data. This method can capture the interdependencies of variables as they change over time, providing crucial support for predictive modeling and system analysis. Its application value is particularly significant in fields such as finance, economics, and environmental science, helping to enhance the accuracy and reliability of models.