The tail of the convolution of densities and its application to a model of HIV-latency time

DOI10.1214/aoap/1177005712zbMath0752.62014OpenAlexW2060807534MaRDI QIDQ1198583

Simeon M. Berman

Publication date: 16 January 1993

Published in: The Annals of Applied Probability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aoap/1177005712

zbMATH Keywords

domain of attractionextreme value theorylimiting conditional distributionregular oscillationasymptotic form of convolutionlatency time for HIV infection

Mathematics Subject Classification ID

Epidemiology (92D30) Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Central limit and other weak theorems (60F05) Extreme value theory; extremal stochastic processes (60G70) Distribution theory (60E99)

Related Items (11)

Asymptotic properties of absolutely continuous functions and strong laws of large numbers for renewal processes ⋮ A local limit theorem on one-sided large deviations for dominated-variation distributions ⋮ A one-sided large deviation local limit theorem ⋮ Numerical evaluation of methods approximating the distribution of a large quadratic form in normal variables ⋮ Strong asymptotic equivalence and inversion of functions in the class \(K_c\) ⋮ Estimating the endpoint of a distribution in the presence of additive observation errors ⋮ Image Denoising with Generalized Gaussian Mixture Model Patch Priors ⋮ On preserving the limit points of corresponding objects ⋮ Some Blackwell-Type Renewal Theorems for Weighted Renewal Functions ⋮ Frontier estimation in the presence of measurement error with unknown variance ⋮ Subexponentiality of the product of independent random variables

This page was built for publication: The tail of the convolution of densities and its application to a model of HIV-latency time