The article discusses a method to analyze data where we don't know the exact distribution of the variables. The researchers focus on finding a matrix that describes the relationships between different variables. They use a special technique called signed-rank testing to estimate this matrix accurately. This method is very effective even when the data doesn't follow a specific pattern. The researchers show that their approach works well in both theoretical and practical settings.