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The TM algorithm for maximising a conditional likelihood function

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Publication:2773179
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DOI10.1093/biomet/88.4.961zbMath1099.62526OpenAlexW2113772173WikidataQ57394038 ScholiaQ57394038MaRDI QIDQ2773179

No author found.

Publication date: 2001

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/c140cc456d0fc09dc83b277c4b2e4b300bd6c1af


zbMATH Keywords

Logistic regressionConditional inferenceGraphical modelCG distribution


Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12)


Related Items (6)

Graphical chain models for the analysis of complex genetic diseases: an application to hypertension ⋮ Discriminative vs. Generative Learning of Bayesian Network Classifiers ⋮ A divide-and-conquer approach in applying EM for large recursive models with incomplete categorical data ⋮ Structural extension to logistic regression: Discriminative parameter learning of belief net classifiers ⋮ Surrogate maximization/minimization algorithms and extensions ⋮ Discrete Bayesian Network Classifiers






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