How to move from Prediction to Inference: Gaussian Process Regression

Hello!

This is my first time posting here, so please forgive my naivety.

For the past few weeks, I've been trying to understand how to extract causal inference information from models that seem to be primarily predictive. Specifically, I've been working with Gaussian Process Regression using some crime data and learning how to better tune it to improve predictions. However, I'm uncertain about how to move from there to making statements about the effects of my X variables on the …

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