arXiv (All)
open access
Gaussian Processes on Directed Metric Graphs
We introduce a statistical framework for Gaussian fields indexed at arbitrary edge locations on general compact directed metric graphs. The construction is based on a stochastic differential equation with a first-order operator and conditions at the vertices. We characterise well-posedness and ident
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
- Differentiable manifolds modelled on locally convex spaces#646112
- Stochastic Completeness for Landmark Shape Spaces with Induced Metrics#1145012
- Finite speed of propagation and waiting time phenomena for stochastic porous media equations with nonlinear conservative noise#799739
- Deep graph kernel point processes over networks#793363
- Deep graph kernel point processes over networks#789359
Record · ID 821368
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