Asymptotic post-selection inference for the Akaike information criterion
From MaRDI portal
Publication:4561017
DOI10.1093/biomet/asy018zbMath1499.62099OpenAlexW2806539381MaRDI QIDQ4561017
Publication date: 10 December 2018
Published in: Biometrika (Search for Journal in Brave)
Full work available at URL: https://lirias.kuleuven.be/handle/123456789/617780
model selectionconfidence regionAkaike information criterionpost-selection inferencelikelihood model
Asymptotic properties of parametric estimators (62F12) Asymptotic distribution theory in statistics (62E20) Statistical aspects of information-theoretic topics (62B10)
Related Items (10)
Prediction intervals for GLMs, GAMs, and some survival regression models ⋮ Optimal finite sample post-selection confidence distributions in generalized linear models ⋮ Uniformly valid inference based on the Lasso in linear mixed models ⋮ More Powerful Selective Inference for the Graph Fused Lasso ⋮ Bootstrapping some GLM and survival regression variable selection estimators ⋮ Focused model selection for linear mixed models with an application to whale ecology ⋮ Penalized estimating equations for generalized linear models with multiple imputation ⋮ Comparing six shrinkage estimators with large sample theory and asymptotically optimal prediction intervals ⋮ Selective inference for additive and linear mixed models ⋮ Optimal model averaging for divergent-dimensional Poisson regressions
This page was built for publication: Asymptotic post-selection inference for the Akaike information criterion