What Does COSS Stand For?

COSS stands for Correlation Shift Scaling

COSS, or Correlation Shift Scaling, is a quantitative technique used to adjust and normalize datasets by accounting for changes in correlation structure over time or across different conditions. This method enhances the analysis of relationships between variables, ensuring that interpretations and predictions remain robust despite variations in underlying correlations. COSS is particularly valuable in fields such as finance, economics, and data science, where understanding the dynamics of variable interactions is crucial for informed decision-making.