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Change point estimation in high dimensional Markov random-field models
This paper investigates a change-point estimation problem in the context of high-dimensional Markov random field models. Change-points represent a key feature in many dynamically evolving network structures. The change-point estimate is obtained by maximizing a profile penalized pseudo-likelihood fu...
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| Yayımlandı: | J R Stat Soc Series B Stat Methodol |
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| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2016
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5571889/ https://ncbi.nlm.nih.gov/pubmed/28848375 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssb.12205 |
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