Loss function based ranking in two-stage, hierarchical models

DOI10.1214/06-BA130zbMath1331.62063OpenAlexW2003479674WikidataQ33957301 ScholiaQ33957301MaRDI QIDQ5965299

Rongheng Lin, Ridgeway Greg, Thomas A. Louis, Susan M. Paddock

Publication date: 2 March 2016

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1340370947

zbMATH Keywords

decision theory Bayesian models operating characteristic percentiling

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10)

Related Items (9)

Measuring performance for end-of-life care ⋮ Discussion of ``Likelihood inference for models with unobservables: another view ⋮ Classification loss function for parameter ensembles in Bayesian hierarchical models ⋮ Statistical profiling methods with hierarchical logistic regression for healthcare providers with binary outcomes ⋮ Hierarchical rank aggregation with applications to nanotoxicology ⋮ Bayesian ranking and selection methods using hierarchical mixture models in microarray studies ⋮ Covariate Adjustment and Ranking Methods to Identify Regions with High and Low Mortality Rates ⋮ Efficient Evaluation of Ranking Procedures when the Number of Units is Large, with Application to SNP Identification ⋮ Simultaneous confidence intervals for ranks using the partitioning principle

This page was built for publication: Loss function based ranking in two-stage, hierarchical models