On low frequency inference for diffusions without the hot spots conjecture
We remove the dependence on the ‘hot-spots’ conjecture in two of the main theorems of the recent paper of Nickl (2024). Specifically, we characterise the minimax convergence rates for estimation of the transition operator P_{f} arising from the Neumann Laplacian with diffusion coefficient f on arbitrary convex domains with smooth boundary, and further show that a general Lipschitz stability estimate holds for the inverse map P_{f} \mapsto f from H^{2} \to H^{2} to L^{1} .
Authors
- Aditya Jambhale
- Giovanni S. Alberti (ORCID: https://orcid.org/0000-0002-8612-3663)
- D. C. Barnes (ORCID: https://orcid.org/0000-0002-0111-1621)
- Richard Nickl (ORCID: https://orcid.org/0000-0002-0889-5422)
Institutions
- University of Cambridge (GB)
- University of Genoa (IT)
Publication Details
- Journal
- Mathematical Statistics and Learning
- Published
- 2025-08-29
- DOI
- https://doi.org/10.4171/msl/53
- Primary Topic
- NMR spectroscopy and applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00