Optimal random quantisers for spherically symmetric distributions
The paper investigates optimal random quantisers for spherically symmetric distributions. It proves that optimizing over all such distributions is a convex problem and establishes an equivalence theorem linking global optimality to a specific condition involving sensitivity functions. This leads to a constructive algorithm for finding the best quantiser.