Revolutionizing Copula Models for Time-Dependent Data in Non-Stationary Environments
The article discusses a method for analyzing data that changes over time, where the patterns and relationships between variables can also change. The researchers developed a way to estimate these changing relationships and distributions, and found a method to test how well their model fits the data.