Change time estimation uncertainty in nonlinear dynamical systems with applications to COVID‐19

DOI10.1002/rnc.5974OpenAlexW4206978681MaRDI QIDQ6152791

Henrik Sandberg, Philip E. Paré, Unnamed Author

Publication date: 13 February 2024

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.5974

zbMATH Keywords

change point detectionHammersley-Chapman-Robbins boundsusceptible-infected-recovered modelestimation uncertaintynon-pharmaceutical interventions

Mathematics Subject Classification ID

Epidemiology (92D30)

Cites Work

• Unnamed Item
• Unnamed Item
• Ensuring privacy with constrained additive noise by minimizing Fisher information
• Beyond just ``flattening the curve: optimal control of epidemics with purely non-pharmaceutical interventions
• Mathematical analysis of the global dynamics of a HTLV-I infection model, considering the role of cytotoxic T-lymphocytes
• Why Isn't Everyone a Bayesian?
• Alternatives to the Median Absolute Deviation
• Inference about the change-point in a sequence of binomial variables
• Minimum Variance Estimation Without Regularity Assumptions
• Certain Inequalities in Information Theory and the Cramer-Rao Inequality

This page was built for publication: Change time estimation uncertainty in nonlinear dynamical systems with applications to COVID‐19