Exact model comparisons in the plausibility framework

DOI10.1016/J.JSPI.2021.07.013zbMath1480.62143arXiv1911.00469OpenAlexW2984503988MaRDI QIDQ2059446

Stefan Böhringer, Dietmar Lohmann

Publication date: 14 December 2021

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1911.00469

zbMATH Keywords

likelihoodhigh-dimensional datamodel comparisonplausibilityretinoblastomaexact testing

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03)

Cites Work

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• High-dimensional variable selection
• A survey of exact inference for contingency tables. With comments and a rejoinder by the author
• p-Values for High-Dimensional Regression
• Hierarchical testing of variable importance
• Regularization and Variable Selection Via the Elastic Net
• Plausibility Functions and Exact Frequentist Inference
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• The elements of statistical learning. Data mining, inference, and prediction

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