WHAT IS AICP THEOREM?

The AICP Theorem, or the Asymptotic Independence of Conditional Probabilities, is a concept in probability theory that addresses the behavior of conditional probabilities in the limit. It states that under certain conditions, the conditional independence of random variables can be preserved as the sample size approaches infinity. This theorem is particularly relevant in fields like statistics and machine learning, where understanding the relationships between variables is crucial for model accuracy and inference.