Riemannian Distances between Covariance Operators and Gaussian Processes

  • Minh Hà QuangEmail author
Conference paper
Part of the Contributions to Statistics book series (CONTRIB.STAT.)


In thisworkwe study several recently formulated Riemannian distances between infinite-dimensional positive definite Hilbert-Schmidt operators in the context of covariance operators associated with functional random processes. Specifically, we focus on the affine-invariant Riemannian and Log-Hilbert-Schmidt distances and the family of Alpha Procrustes distances, which include both the Bures-Wasserstein and Log-Hilbert-Schmidt distances as special cases. In particular, we present finitedimensional approximations of the infinite-dimensional distances and show their convergence to the exact distances. The theoretical formulation is illustrated with numerical experiments on covariance operators of Gaussian processes.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.RIKEN Center for Advanced Intelligence ProjectTokyoJapan

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