Open Access
June 2023 Efficiency of estimators for locally asymptotically normal quantum statistical models
Akio Fujiwara, Koichi Yamagata
Author Affiliations +
Ann. Statist. 51(3): 1159-1182 (June 2023). 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.

Funding Statement

The present study was supported by JSPS KAKENHI Grant Numbers JP17H02861, JP22K03466, and MEXT Quantum Leap Flagship Program (MEXT Q-LEAP) Grant Number JPMXS0120351339.

Citation

Download Citation

Akio Fujiwara. Koichi Yamagata. "Efficiency of estimators for locally asymptotically normal quantum statistical models." Ann. Statist. 51 (3) 1159 - 1182, June 2023. https://doi.org/10.1214/23-AOS2285

Information

Received: 1 August 2022; Revised: 1 February 2023; Published: June 2023
First available in Project Euclid: 20 August 2023

MathSciNet: MR4630944
zbMATH: 07732743
Digital Object Identifier: 10.1214/23-AOS2285

Subjects:
Primary: 62F12 , 81P50
Secondary: 62A01

Keywords: Asymptotic efficiency , asymptotic representation theorem , local asymptotic normality , Minimax estimator , quantum statistics , regular estimator

Rights: Copyright © 2023 Institute of Mathematical Statistics

Vol.51 • No. 3 • June 2023
Back to Top