Semi-parametric estimation of incubation and generation times by means of Laguerre polynomials

DOI10.1080/10485252.2022.2028281OpenAlexW3115682592MaRDI QIDQ5102528

Ingrid Van Keilegom, Alexander Kreiß

Publication date: 23 September 2022

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

Full work available at URL: https://arxiv.org/abs/2012.15611

zbMATH Keywords

epidemicssemi-parametric estimationLaguerre-polynomialssieve-estimation

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items (1)

Introduction to the special issue on Data Science for COVID-19

Cites Work

• Unnamed Item
• Unnamed Item
• On the optimal rates of convergence for nonparametric deconvolution problems
• A central limit theorem under metric entropy with \(L_ 2\) bracketing
• Comparing nonparametric versus parametric regression fits
• Convergence rates and asymptotic normality for series estimators
• On methods of sieves and penalization
• Probability inequalities for likelihood ratios and convergence rates of sieve MLEs
• Weak convergence and empirical processes. With applications to statistics
• Two Critical Issues in Quantitative Modeling of Communicable Diseases: Inference of Unobservables and Dependent Happening
• “Smooth” Semiparametric Regression Analysis for Arbitrarily Censored Time-to-Event Data
• Mathematical and Statistical Estimation Approaches in Epidemiology
• Sieve Extremum Estimates for Weakly Dependent Data
• Consistent deconvolution in density estimation
• Instrumental Variable Estimation of Nonparametric Models
• Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions
• Measurement Error in Nonlinear Models
• Probability-1

This page was built for publication: Semi-parametric estimation of incubation and generation times by means of Laguerre polynomials