I have trouble in implement sampling inference for two-dimensional distribution with pymc.

For example, how to implement an inference for two-dimensional normal distribution?

If I have known a tow-dimensional arbitrary two-dimensional distribution function, how can I implement inference?

1 Like

Welcome!

Can you provide a bit more detail about what you are trying to do? Or maybe you can provide some code to generate the sort of data you are envisioning?

Thanks!

I have some data, and I want to use these data to infer the parameters in this joint distribution.

Actually I don’t know how to use pymc to infer the parameters from a two-dimensional joint distribution.

So I want to start with a simple case that how to infer the two-dimensional normal distribution using generating data firstly.