DIC in variable selection

DOI10.1111/j.1467-9574.2005.00278.xzbMath1069.62005OpenAlexW2013646242WikidataQ29012962 ScholiaQ29012962MaRDI QIDQ5313473

Angelika van der Linde

Publication date: 1 September 2005

Published in: Statistica Neerlandica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9574.2005.00278.x

zbMATH Keywords

mutual informationexpected utilityconditional entropymodel comparisonposterior predictive entropy

Mathematics Subject Classification ID

Bayesian inference (62F15) Statistical aspects of information-theoretic topics (62B10)

Related Items

Quantifying conditional probability tables in Bayesian networks: Bayesian regression for scenario-based encoding of elicited expert assessments on feral pig habitat, Spatial modelling of claim frequency and claim size in non-life insurance, On association in regression: the coefficient of determination revisited, Modelling count data with overdispersion and spatial effects, Model selection for dynamical systems via sparse regression and information criteria, Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC, Deviance information criterion (DIC) in Bayesian multiple QTL mapping, Overfitting Bayesian mixtures of factor analyzers with an unknown number of components, Bayesian comparative study on binary time series, The fragility of standard inferential approaches in principal stratification models relative to direct likelihood approaches, Model selection for hybrid dynamical systems via sparse regression, Spatial mixture multiscale modeling for aggregated health data, Understanding predictive information criteria for Bayesian models, Modeling individual migraine severity with autoregressive ordered probit models

Cites Work

• Bayesian Measures of Model Complexity and Fit
• Unnamed Item
• Unnamed Item