Conditional Fisher-Information Central Limit Theorems under Log-Concavity with Information-Theoretic Consequences

We establish conditional central limit theorems in Fisher information under log-concavity in every fixed dimension. For conditionally centered normalized sums, after whitening by the averaged conditional covariance, the averaged conditional Fisher information converges to the dimension if and only i