Maximum likelihood estimation of the bounded confidence model parameters: the confidence bound is asymptotically unbiased, the convergence rate is persistently biased, and joint estimation has identifiability problems.
A computational approach to identifiability analysis for a model of the propagation and control of COVID-19 in Chile.Journal of Biological Dynamics, 17(1):2256774, December 2023
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
Bias and Identifiability in the Bounded Confidence Model
Maximum likelihood estimation of the bounded confidence model parameters: the confidence bound is asymptotically unbiased, the convergence rate is persistently biased, and joint estimation has identifiability problems.