arXiv (All)
open access
Projection depth for functional data: Theoretical properties
We introduce a novel projection depth for data lying in a general Hilbert space, called the regularized projection depth, with a focus on functional data. By regularizing projection directions, the proposed depth does not suffer from the degeneracy issue that may arise when the classical projection
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
- The bounds $\hbar_{p,X}\lesssim(β_{p,X})^2$ and $β_{p,X}\lesssim(\hbar_{p,X})^2$ are sharp#997326
- Extragradient methods with complexity guarantees for hierarchical variational inequalities#925881
- Functional Analysis#1332077
- Functional analysis#1330805
- Does per-frame early exit pay? A compute-matched study of dynamic depth for on-device speech enhancement#1077794
Record · ID 1386971
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