Statistical inference for Bures-Wasserstein barycenters

Abstract
In this work we introduce the concept of Bures-Wasserstein barycenter , that is essentially a Fr\échet mean of some distribution supported on a subspace of positive semi-definite Hermitian operators . We allow a barycenter to be restricted to some affine subspace of and provide conditions ensuring its existence and uniqueness. We also investigate convergence and concentration properties of an empirical counterpart of in both Frobenius norm and Bures-Wasserstein distance, and explain, how obtained results are connected to optimal transportation theory and can be applied to statistical inference in quantum mechanics.
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