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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On low frequency inference for diffusions without the hot spots conjecture

Aditya Jambhale, Giovanni S. Alberti, D. C. Barnes, Richard Nickl
Mathematical Statistics and Learning
NMR spectroscopy and applications
article

On low frequency inference for diffusions without the hot spots conjecture

Aditya Jambhale, Giovanni S. Alberti, D. C. Barnes, Richard Nickl
article en

Abstract

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} .

Mathematical Statistics and LearningVol. 8(3)
University of Cambridge (GB), University of Genoa (IT)
Openalex Percentile: Top 90%
NMR spectroscopy and applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.