Scalable Approximate Bayesian Computation for Growing Network Models via Extrapolated and Sampled Summaries-Reference-Cited by-同舟云学术

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Scalable Approximate Bayesian Computation for Growing Network Models via Extrapolated and Sampled Summaries

Published:2022-01-01 Issue:1 Volume:17 Page:
ISSN:1936-0975
Container-title:Bayesian Analysis
language:
Short-container-title:Bayesian Anal.

Author:

Raynal Louis¹,Chen Sixing¹,Mira Antonietta²,Onnela Jukka-Pekka¹

Affiliation:

1. Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, 655 Huntington Avenue, Building 2, 4th Floor, Boston, MA, USA 02115

2. Data Science Lab, Institute of Computational Science, Università della Svizzera italiana, Via Buffi 6, 6900 Lugano, Switzerland

Publisher

Institute of Mathematical Statistics

Subject

Applied Mathematics,Statistics and Probability

Link

https://projecteuclid.org/download/pdfview_1/euclid.ba/1607396572

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intrinsic dimension as a multi-scale summary statistics in network modeling;Scientific Reports;2024-08-01

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