arXiv (All)
open access
Bayes Estimators with Performance Comparable to Empirical Bayes Estimators and Improved Local Robustness
Bayes estimation has been extensively studied and widely used in statistics, decision theory, signal processing, machine learning, and system identification. Among its variants, empirical Bayes (EB) estimation has attracted considerable attention due to its favorable estimation performance and compu
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
- Probabilistic estimation of the accuracy of inner products and application to stochastic validation#268820
- Bayesian optimization with kernel ensembles and disagreement-based acquisition for source localization and acoustic inversion#1083719
- Bayesian Filtering in Physical Systems via Test-time Trained Flow Matching#1049125
- On the Dirichlet-kernel Gasser--Müller estimator and its competitors for fixed design regression on the simplex#155532
- Full-Covariance Smoothing of Bayesian Neural Networks for Online Adaptation#1063455
Record · ID 974795
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