Efficiency of estimators for locally asymptotically normal quantum statistical models
arXiv:2209.00832 · doi:10.1214/23-AOS2285
Abstract
We herein establish an asymptotic representation theorem for locally asymptotically normal quantum statistical models. This theorem enables us to study the asymptotic efficiency of quantum estimators such as quantum regular estimators and quantum minimax estimators, leading to a universal tight lower bound beyond the i.i.d. assumption. This formulation complements the theory of quantum contiguity developed in the previous paper [Fujiwara and Yamagata, Bernoulli 26 (2020) 2105-2141], providing a solid foundation of the theory of weak quantum local asymptotic normality.
References in corpus (6)
- State estimation for large ensembles
- Local asymptotic normality for finite dimensional quantum systems
- Quantum local asymptotic normality based on a new quantum likelihood ratio
- Local asymptotic normality for qubit states
- On Asymptotic Quantum Statistical Inference
- Local asymptotic normality in quantum statistics