NIE Data Repository Dataverse OAI Archive
metadata only
CC BY-NC 4.0
Related Data for: A fast and accurate kernel-based independence test with applications to high-dimensional and functional data
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
- Graph-Based Change-Point Detection for Partially Observed High-Dimensional Data#974664
- On Detecting Multiple Simultaneous Change-points in High Dimensional Non-Stationary Time Series#1109482
- Online detection of distributional changes for time series in metric spaces#818647
- Online detection of distributional changes for time series in metric spaces#808655
- Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis#624498
Record · ID 375087
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