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Original Articles

A Localization Approach to Improve Iterative Proportional Scaling in Gaussian Graphical Models

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Pages 1643-1654 | Received 18 Feb 2008, Accepted 30 May 2008, Published online: 28 Apr 2010

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Ping-Feng Xu, Jianhua Guo & Man-Lai Tang. (2015) A Localized Implementation of the Iterative Proportional Scaling Procedure for Gaussian Graphical Models. Journal of Computational and Graphical Statistics 24:1, pages 205-229.
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Ping-Feng Xu, Jianhua Guo & Xuming He. (2011) An Improved Iterative Proportional Scaling Procedure for Gaussian Graphical Models. Journal of Computational and Graphical Statistics 20:2, pages 417-431.
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Articles from other publishers (6)

Satoshi Kuriki, Kunihiko Takahashi & Hisayuki Hara. (2018) Multiplicity adjustment for temporal and spatial scan statistics using Markov property. Japanese Journal of Statistics and Data Science 1:1, pages 191-213.
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Ping-Feng Xu, Jubo Sun & Na Shan. (2016) Local computations of the iterative proportional scaling procedure for hierarchical models. Computational Statistics & Data Analysis 95, pages 17-23.
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Takuya Kashimura & Akimichi Takemura. (2015) Standard imsets for undirected and chain graphical models. Bernoulli 21:3.
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Ping-Feng Xu, Jianhua Guo & Man-Lai Tang. (2011) An improved Hara-Takamura procedure by sharing computations on junction tree in Gaussian graphical models. Statistics and Computing 22:5, pages 1125-1133.
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Satoshi Aoki, Hisayuki Hara & Akimichi TakemuraSatoshi Aoki, Hisayuki Hara & Akimichi Takemura. 2012. Markov Bases in Algebraic Statistics. Markov Bases in Algebraic Statistics 129 157 .
Satoshi Aoki, Hisayuki Hara & Akimichi TakemuraSatoshi Aoki, Hisayuki Hara & Akimichi Takemura. 2012. Markov Bases in Algebraic Statistics. Markov Bases in Algebraic Statistics 229 247 .

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