Sampling bias and class imbalance in maximum-likelihood logistic regression

DOI10.1007/s11004-010-9311-8zbMath1204.86025OpenAlexW2113714330MaRDI QIDQ621810

Laurie G. Baise, Thomas Oommen, Richard M. Vogel

Publication date: 28 January 2011

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-010-9311-8

zbMATH Keywords

samplingimbalanceprobabilistic classificationunder-samplingbinary classover-sampling

Mathematics Subject Classification ID

Geostatistics (86A32)

Related Items (2)

Performance of prior and weighting bias correction methods for rare event logistic regression under the influence of sampling bias ⋮ Training and assessing classification rules with imbalanced data

Uses Software

• R

Cites Work

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• Computing Distributions for Exact Logistic Regression
• Maximum Likelihood Estimator for Choice-Based Samples
• An Efficient Method of Moments Estimator for Discrete Choice Models With Choice-Based Sampling
• An algorithm for information structuring and retrieval

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