Estimating the Basic Reproductive Number in the General Epidemic Model with an Unknown Initial Number of Susceptible Individuals

DOI10.1111/j.1467-9469.2008.00594.xzbMath1199.62065OpenAlexW2128399676MaRDI QIDQ3552940

Paul S. F. Yip, Eric H. Y. Lau

Publication date: 22 April 2010

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9469.2008.00594.x

zbMATH Keywords

kernel smoothingcounting processmartingale estimating equations

Mathematics Subject Classification ID

Epidemiology (92D30) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (2)

Improved estimation of the initial number of susceptible individuals in the general stochastic epidemic model using penalized likelihood ⋮ Bayesian nonparametrics for stochastic epidemic models

Cites Work

• Smoothing counting process intensities by means of kernel functions
• An inference procedure for a simple epidemic model: A martingale approach
• Estimating the initial relative infection rate for a stochastic epidemic model
• A note on the estimation of the initial number of susceptible individuals in the general epidemic model
• The foundations of finite sample estimation in stochastic processes
• Empirical-Bias Bandwidths for Local Polynomial Nonparametric Regression and Density Estimation
• Linear Statistical Inference and its Applications
• Statistical models based on counting processes
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