arXiv (All)
open access
Probability generating functions for epidemiological time series
Probability generating functions (PGFs) are a fundamental tool in mathematical epidemiology to characterize the stochastic evolution of epidemics via branching process theory. However, they are rarely used as operational tools in real-time during an outbreak, the main barrier being a lack of a syste
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- On the dynamic behavior of the network SIRS epidemic model#1036683
- Differentially Private Modeling of Disease Transmission within Human Contact Networks#2467
- Stochastic modelling of influenza epidemic#470611
- Hyperbolic modeling and assessment of hypothetical health behaviors during a viral outbreak using crowdsourced samples.#193631
- Theory and simulations of delayed stochastic and deterministic models of prion diseases#235151
Record · ID 1342016
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive