Gaussian copula

Okay, so do you know what a copula is? No? Well, a copula is like a special tool for statisticians to use when they want to see how two things are related. It's like a magic spell that helps them understand how one thing affects another thing.

Now, a "gaussian copula" is just a specific type of copula that is used when the two things being related have something called a "normal distribution." That just means that when you graph how often different values of the things being related happen, they make a certain bell-shaped curve.

The great thing about using a gaussian copula is that it can help statisticians accurately predict how likely certain outcomes are based on the relationship between the two things being studied. It can also help them figure out how likely it is that two things will happen at the same time.

So, in summary, a gaussian copula is a special tool for statisticians to use when they want to understand how two things are related, and it's especially useful when those two things follow a normal distribution. It helps them predict outcomes and understand how likely it is that two things will happen at the same time.