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Technometrics Volume 60, 2018 - Issue 4
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Articles

Nonparametric Finite Mixture of Gaussian Graphical Models

Kevin H. LeeWestern Michigan University, Kalamazoo, MI;Pennsylvania State University, State College, PA
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Lingzhou XueWestern Michigan University, Kalamazoo, MI;Pennsylvania State University, State College, PAORCID Iconhttp://orcid.org/0000-0002-8252-0637
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Pages 511-521 | Received 01 May 2016, Published online: 09 Nov 2018

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Zeya Wang, Veerabhadran Baladandayuthapani, Ahmed O. Kaseb, Hesham M. Amin, Manal M. Hassan, Wenyi Wang & Jeffrey S. Morris. (2022) Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer. Journal of the American Statistical Association 117:538, pages 533-546.
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Amal Agarwal & Lingzhou Xue. (2020) Model-Based Clustering of Nonparametric Weighted Networks With Application to Water Pollution Analysis. Technometrics 62:2, pages 161-172.
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Articles from other publishers (4)

Kevin H. Lee, Qian Chen, Wayne S. DeSarbo & Lingzhou Xue. (2021) Estimating Finite Mixtures of Ordinal Graphical Models. Psychometrika 87:1, pages 83-106.
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Yang Xu, Arun Srinivasan & Lingzhou Xue. 2021. Modern Statistical Methods for Health Research. Modern Statistical Methods for Health Research 247 277 .
Kevin H. Lee, Lingzhou Xue & David R. Hunter. (2020) Model-based clustering of time-evolving networks through temporal exponential-family random graph models. Journal of Multivariate Analysis 175, pages 104540.
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Michael Fop, Thomas Brendan Murphy & Luca Scrucca. (2018) Model-based clustering with sparse covariance matrices. Statistics and Computing 29:4, pages 791-819.
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