Bayesian dynamic network actor models with application to South Korean COVID-19 patient movement data

DOI10.1007/S10260-021-00599-XzbMath1477.62307OpenAlexW3210213069MaRDI QIDQ2066727

Antonio Mario Arrizza, Alberto Caimo

Publication date: 14 January 2022

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-021-00599-x

zbMATH Keywords

Bayesian inferenceCOVID-19 patient movementsdynamic network actor modelsrelational events

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Uses Software

• goldfish

Cites Work

• Weak convergence and optimal scaling of random walk Metropolis algorithms
• Discrete temporal models of social networks
• Bayesian inference for dynamic social network data
• Hierarchical models for relational event sequences
• Markov Graphs
• An Exponential Family of Probability Distributions for Directed Graphs
• A dynamic model for social networks†
• Equation of State Calculations by Fast Computing Machines
• Monte Carlo sampling methods using Markov chains and their applications
• Topics at the Frontier of Statistics and Network Analysis
• Bayesian survival analysis
• Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time

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