arXiv (All)
open access
Non-asymptotic Analysis of Expected Reconstruction Risk for Trigonometric Polynomial Models
We investigate the expected reconstruction risk of trigonometric polynomial models under different sampling schemes. Through numerical experiments, we observe that when the sampling nodes $\{t_l\}_{l=1}^m$ are i.i.d. random variables uniformly distributed over $[0,1)$, the associated structured rand
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Uniform efficiency of the Ulrich-Wood sampler for the von Mises-Fisher distribution#1064428
- Spectral functions and critical dynamics of the O(4) model from classical-statistical lattice simulations#965648
- Partially Observed Sparse Graphs: The Unknown Sampling Rate is a Tail Index#1062099
- CVE-2026-104356 — HIGH 8.2#1167617
- Dynamical Critical Properties of the Random-Bond three-state Potts Model#1156111
Record · ID 1077215
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive