Comparing two samples by penalized logistic regression

DOI10.1214/07-EJS078zbMath1320.62070arXiv0807.2563OpenAlexW2070776482MaRDI QIDQ1951763

Konstantinos Fokianos

Publication date: 24 May 2013

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

Full work available at URL: https://arxiv.org/abs/0807.2563

zbMATH Keywords

powermean square errorempirical likelihoodshrinkagesemiparametricpenaltybiased sampling

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (7)

Safe density ratio modeling ⋮ Biological applications of time series frequency domain clustering ⋮ Enveloping spectral surfaces: covariate dependent spectral analysis of categorical time series ⋮ Order-Restricted Semiparametric Inference for the Power Bias Model ⋮ Global and local two-sample tests via regression ⋮ A New Test for Checking the Equality of the Correlation Structures of two time Series ⋮ Classification of COVID19 Patients using robust logistic regression

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