Bayesian logistic model for positive and unlabeled data

DOI10.1007/978-3-031-33498-6_11OpenAlexW4377081166MaRDI QIDQ6072458

Małgorzata Łazȩcka

Publication date: 13 October 2023

Published in: Modeling Decisions for Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-031-33498-6_11

zbMATH Keywords

Gibbs samplinggraphical modelBayesian logistic regressionpositive and unlabeled dataselected completely at random

Mathematics Subject Classification ID

Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Cites Work

• The Pólya-gamma Gibbs sampler for Bayesian logistic regression is uniformly ergodic
• Estimating the class prior for positive and unlabelled data via logistic regression
• Numerical Analysis for Statisticians
• Positive Unlabeled Learning
• Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables

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