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Semi-parametric estimation of incubation and generation times by means of Laguerre polynomials.
- Source :
- Journal of Nonparametric Statistics; Sep2022, Vol. 34 Issue 3, p570-606, 37p
- Publication Year :
- 2022
-
Abstract
- In epidemics many interesting quantities, like the reproduction number, depend on the incubation period (time from infection to symptom onset) and/or the generation time (time until a new person is infected from another infected person). Therefore, estimation of the distribution of these two quantities is of distinct interest. However, this is a challenging problem since it is normally not possible to obtain precise observations of these two variables. Instead, in the beginning of a pandemic, it is possible to observe for transmission pairs the time of symptom onset for both people as well as a window for infection of the first person (e.g. because of travel to a risk area). In this paper we suggest a simple semi-parametric sieve-estimation method based on Laguerre-Polynomials for estimation of these distributions. We provide detailed theory for consistency and illustrate the finite sample performance for small datasets via a simulation study. [ABSTRACT FROM AUTHOR]
- Subjects :
- LAGUERRE polynomials
RISK perception
EPIDEMICS
Subjects
Details
- Language :
- English
- ISSN :
- 10485252
- Volume :
- 34
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Journal of Nonparametric Statistics
- Publication Type :
- Academic Journal
- Accession number :
- 158963074
- Full Text :
- https://doi.org/10.1080/10485252.2022.2028281