Kuo's inequality

Kuo's inequality is a mathematical concept used primarily in probability and statistics. It provides a way to estimate how the correlation of random variables affects the behavior of their linear combinations. Essentially, it helps to determine bounds on the probability of certain outcomes when dealing with dependent variables. This is particularly useful in areas like statistical physics and the study of network theory, where understanding the relationships between variables is key to predicting their combined effects. Kuo's inequality thus serves as a valuable tool for assessing risks and making informed decisions based on interrelated factors.