Hypothesis testing in finite mixture of regressions: Sparsity and model selection uncertainty

DOI10.1002/cjs.11467zbMath1492.62048OpenAlexW2900765633WikidataQ128880655 ScholiaQ128880655MaRDI QIDQ4960927

Anand N. Vidyashankar, Abbas Khalili

Publication date: 24 April 2020

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.11467

zbMATH Keywords

family-wise error ratedata splittingmodel selection consistencyadjusted \(p\)-valueBIC-enhanced tuning parameter

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Ridge regression; shrinkage estimators (Lasso) (62J07) Parametric hypothesis testing (62F03) Generalized linear models (logistic models) (62J12) Foundations and philosophical topics in statistics (62A01) Asymptotic properties of parametric tests (62F05)

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