Fully Bayesian analysis of the relevance vector machine with an extended hierarchical prior structure
From MaRDI portal
Publication:537468
DOI10.1016/j.stamet.2010.05.005zbMath1213.62043OpenAlexW2163340087MaRDI QIDQ537468
Ernest Fokoué, Dongchu Sun, Prem K. Goel
Publication date: 20 May 2011
Published in: Statistical Methodology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.stamet.2010.05.005
consistencyregularizationill-posednessimproper priorreference priorsparsityNeyman-Scott probleminfinite dimensional
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Cites Work
- Unnamed Item
- Unnamed Item
- On selection of kernel parametes in relevance vector machines for hydrologic applications
- On the consistency of Bayes estimates
- Consistency of Bayes estimates for nonparametric regression: normal theory
- Convergence rates of posterior distributions.
- Rates of convergence of posterior distributions.
- The consistency of posterior distributions in nonparametric problems
- Misspecification in infinite-dimensional Bayesian statistics
- Regularized Posteriors in Linear Ill-Posed Inverse Problems
- Pushing the Limits of Contemporary Statistics: Contributions in Honor of Jayanta K. Ghosh
- 10.1162/15324430152748236
- Consistent Estimates Based on Partially Consistent Observations
This page was built for publication: Fully Bayesian analysis of the relevance vector machine with an extended hierarchical prior structure
