Möbius deconvolution on the hyperbolic plane with application to impedance density estimation
Stephan F. Huckemann, Peter T. Kim, Ja-Yong Koo, Axel Munk
The Annals of Statistics · 2010 · Volume 38 · Issue 4
Abstract
In this paper we consider a novel statistical inverse problem on the Poincaré, or Lobachevsky, upper (complex) half plane. Here the Riemannian structure is hyperbolic and a transitive group action comes from the space of 2 × 2 real matrices of determinant one via Möbius transformations. Our approach is based on a deconvolution technique which relies on the Helgason–Fourier calculus adapted to this hyperbolic space. This gives a minimax nonparametric density estimator of a hyperbolic density that is corrupted by a random Möbius transform. A motivation for this work comes from the reconstruction of impedances of capacitors where the above scenario on the Poincaré plane exactly describes the physical system that is of statistical interest.
Keywords
43A80, 62G07, Cayley transform, cross-validation, Deconvolution, Fourier analysis, Helgason–Fourier transform, Hyperbolic space, impedance, Laplace–Beltrami operator, Möbius transformation, special linear group, Statistical inverse problems, upper half-plane
Enable JavaScript for citation tools and additional paper interactions.