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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Muhammad Asaduzzaman

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Preprint Jul 2026

A Complete-Data Likelihood for Epidemic Processes on Partially Observed Dynamic Networks

A unified complete-data likelihood framework for epidemic processes evolving on partially observed dynamic networks that contributes to statistical inference for partially observed interacting stochastic systems on evolving networks and establishes a foundation for uncertainty-aware analysis of complex transmission processes.

Muhammad Asaduzzaman · 1 citation
Preprint Jul 2026

Identifiability and Information-Based Inference for Epidemic Transmission Models Under Partial Observation

A unified framework for studying identifiability and Fisher information in epidemic transmission models observed on dynamic contact networks is developed, establishing conditions for structural and local identifiability, derive observed and complete-data information matrices, and quantify information loss arising from unobserved transmission events and missing network information through a missing-information decomposition.

Muhammad Asaduzzaman · 0 citations

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