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Journal of the American Statistical Association Volume 117, 2022 - Issue 537
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Theory and Methods

Estimation of Subgraph Densities in Noisy Networks

Jinyuan Changa School of Statistics, Southwestern University of Finance and Economics, Chengdu, ChinaView further author information
,
Eric D. Kolaczykb Department of Mathematics and Statistics, Boston University, Boston, MACorrespondence[email protected]
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Qiwei Yaoc Department of Statistics, London School of Economics and Political Science, London, UKORCID Iconhttps://orcid.org/0000-0003-2065-8486View further author information
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Pages 361-374 | Received 01 Feb 2019, Accepted 02 Jun 2020, Published online: 20 Jul 2020

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Georgia Papadogeorgou, Carolina Bello, Otso Ovaskainen & David B. Dunson. (2023) Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions. Journal of the American Statistical Association 118:544, pages 2250-2261.
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Pengsheng Ji, Jiashun Jin, Zheng Tracy Ke & Wanshan Li. (2022) Rejoinder: “Co-citation and Co-authorship Networks of Statisticians”. Journal of Business & Economic Statistics 40:2, pages 499-504.
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Articles from other publishers (6)

Anastasia Mantziou, Simón Lunagómez & Robin Mitra. (2024) Bayesian model-based clustering for populations of network data. The Annals of Applied Statistics 18:1.
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Wenrui Li, Changgee Chang, Suprateek Kundu & Qi Long. (2024) Accounting for network noise in graph-guided Bayesian modeling of structured high-dimensional data. Biometrics 80:1.
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Wenrui Li, Daniel L. Sussman & Eric D. Kolaczyk. (2023) Estimation of the Branching Factor in Noisy Networks. IEEE Transactions on Network Science and Engineering 10:1, pages 565-577.
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Zheng Tracy Ke & Jiashun Jin. (2023) Special invited paper: The SCORE normalization, especially for heterogeneous network and text data. Stat 12:1.
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Yi Su, Jan Hannig & Thomas C. M. Lee. (2022) Uncertainty Quantification in Graphon Estimation Using Generalized Fiducial Inference. IEEE Transactions on Signal and Information Processing over Networks 8, pages 597-609.
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Nathaniel Josephs, Wenrui Li & Eric. D. Kolaczyk. (2021) Network Recovery from Unlabeled Noisy Samples. Network Recovery from Unlabeled Noisy Samples.

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