arXiv (OAI Expanded)
open access
Kantorovich Regression Analysis of Random Distributions with Mixed Predictors
In modern scientific applications, observations often take the form of probability distributions. We study regression problems with distribution-valued responses and mixed distributional and Euclidean predictors. Under quadratic optimal transport, the proposed Kantorovich regression model approximat
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
- Deep Barycentric Regression for Optimal Transport Map Estimation and its Statistical Optimality#974707
- Amortized Optimal Transport from Sliced Potentials#1130529
- Optimal estimation for Functional Linear Regression with Noisy Discretized Data#668060
- The decrease in sectional curvature of the Fisher--Rao manifold of beta distributions#997630
- The Monge-Kantorovich tangent bundle to a measure#1077330
Record · ID 1069757
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