Inverse uncertainty quantification for stochastic systems by resampling. Applications to modeling of alcohol consumption and infection by HIV

DOI10.1016/j.cnsns.2024.108401MaRDI QIDQ6649292

J. Calatayud, M. Jornet, Carla M. A. Pinto

Publication date: 5 December 2024

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

zbMATH Keywords

random dynamical systemBayesian bootstrapinverse parameter estimationalcohol incidence and HIV

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to social sciences (62P25) Bayesian inference (62F15) Bootstrap, jackknife and other resampling methods (62F40) Medical applications (general) (92C50)

Cites Work

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• Alcohol consumption in Spain and its economic cost: a mathematical modeling approach
• Mathematical epidemiology.
• Random differential equations in science and engineering
• Bootstrap methods: another look at the jackknife
• Global dynamics of a delayed alcoholism model with the effect of health education
• A fractional calculus model for HIV dynamics: real data, parameter estimation and computational strategies
• Random Differential Equations in Scientific Computing
• A mathematical model of serious and minor criminal activity
• A General Framework for Fractional Order Compartment Models
• Bayesian Biostatistics
• Theory and methods for random differential equations: a survey
• Dealing with variability in ecological modelling: An analysis of a random non‐autonomous logistic population model

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