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Consistent and powerful graph-based change-point test for high-dimensional data
A change-point detection is proposed by using a Bayesian-type statistic based on the shortest Hamiltonian path, and the change-point is estimated by using ratio cut. A permutation procedure is applied to approximate the significance of Bayesian-type statistics. The change-point test is proven to be...
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| 出版年: | Proc Natl Acad Sci U S A |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
National Academy of Sciences
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5393215/ https://ncbi.nlm.nih.gov/pubmed/28356520 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1702654114 |
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