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Journals / Hacettepe Journal of Mathematics and Statistics / 2002 / Volume: 31

BAYESIAN VARIABLE SELECTION IN LINEAR REGRESSION AND A COMPARISON

Atilla Yardımcı
Aydın Erar
Pages
—
Publication Date
2001-12-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this study, Bayesian approaches, such as Zellner, Occam's Window

📌 3 Key Takeaways

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Objective & Hypothesis:In this study, Bayesian approaches, such as Zellner, Occam's Window
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Key Findings & Data:In this study, Bayesian approaches, such as Zellner, Occam's Window
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Conclusion & Impact:In this study, Bayesian approaches, such as Zellner, Occam's Window
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Bayesian variable selection · Prior distribution · Gibbs Sampling

Abstract

In this study, Bayesian approaches, such as Zellner, Occam's Window

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Cite This Article

Yardımcı, A., Erar, A. (2001). BAYESIAN VARIABLE SELECTION IN LINEAR REGRESSION AND A COMPARISON. Hacettepe Journal of Mathematics and Statistics, Volume: 31. https://ajindex.com/articles/1403874

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