Journals / Anadolu Üniversitesi Bilim ve Teknoloji Dergisi :A-Uygulamalı Bilimler ve Mühendislik / 2004 / Cilt: 5 - Sayı: 2

Graphical models for discrete variables

Kesikli değişken içeren grafiksel modeller

Pages
195–200
Publication Date
2022-10-11
DOI
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AI Summary & Key Takeaways

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

In this study, deviance, which is used to test conditional independencies, is studied.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Graphical models arise from restrictions that are expressible as conditional independencies of variables pairs.
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Key Findings & Data:Graphical model is a subclass of hierarchical log linear models.
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Conclusion & Impact:In this study, deviance, which is used to test conditional independencies, is studied.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Graphical models arise from restrictions that are expressible as conditional independencies of variables pairs. Graphical model is a subclass of hierarchical log linear models. These models can be represented by an undirected graph. Hierarchical log linear model has a set of minimal sufficient statistics, which is a set of proper marginal contingency tables. In this study, deviance, which is used to test conditional independencies, is studied.

Özet

Grafiksel modeller değişken çiftlerinin koşullu bağımsızlıkları ile açıklanan kısıtlarla belirlenir. Grafiksel model hiyerarşik loglineer modellerin bir alt sınıfıdır. Bu modeller yön verilmemiş grafikle gösterilebilir. Hiyerarşik loglineer model minimal yeterli istatistiklerin bir kümesine sahiptir. Bu küme marjinal olumsallık tablolarının bir kümesidir. Bu çalışmada koşullu bağımsızlıkların test işleminde kullanılan sapma ifadesi irdelenmiştir.

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Cite This Article

GÖKPINAR, F., BAYRAK, H. (2022). Graphical models for discrete variables. Anadolu Üniversitesi Bilim ve Teknoloji Dergisi :A-Uygulamalı Bilimler ve Mühendislik, Cilt: 5 - Sayı: 2, 195–200. https://ajindex.com/articles/438444

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References (3)

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