Scalable approximate Bayesian computation for growing network models via extrapolated and sampled summaries

DOI10.1214/20-ba1248arXiv2011.04532OpenAlexW3111287199MaRDI QIDQ6121615

Louis Raynal, Antonietta Mira, Sixing Chen, J.-P. Onnela

Publication date: 27 February 2024

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2011.04532

zbMATH Keywords

Gaussian processnetwork modelsmechanistic models

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Model of community emergence in weighted social networks
• Approximate Bayesian computational methods
• Main-memory triangle computations for very large (sparse (power-law)) graphs
• Bayesian emulation of complex multi-output and dynamic computer models
• Adapting the ABC distance function
• Emergence of Scaling in Random Networks
• On Finding Graph Clusterings with Maximum Modularity
• A MODEL OF LARGE-SCALE PROTEOME EVOLUTION
• Bayesian inference of spreading processes on networks
• Collective dynamics of ‘small-world’ networks
• Networks
• Pre-processing for approximate Bayesian computation in image analysis

This page was built for publication: Scalable approximate Bayesian computation for growing network models via extrapolated and sampled summaries