𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Estimation from current-status data in continuous time

✍ Scribed by Niels Keiding; Kamilla Begtrup; Thomas H. Scheike; Günther Hasibeder

Publisher
Springer
Year
1996
Tongue
English
Weight
507 KB
Volume
2
Category
Article
ISSN
1380-7870

No coin nor oath required. For personal study only.

✦ Synopsis

The nonparametric maximum likelihood estimator for current-status data has been known for at least 40 years, but only recently have the mathematical-statistical properties been clarified. This note provides a case study in the important and often studied context of estimating age-specific immunization intensities from a seroprevalence survey. Fully parametric and spline-based alternatives (also based on continuous-time models) are given. The basic reproduction number Ro exemplifies estimation of a functional. The limitations implied by the necessarily rather restrictive epidemiological assumptions are briefly discussed.

📜 SIMILAR VOLUMES

Discrete-time estimation in continuous-t
Discrete-time estimation in continuous-time communication systems
✍ Per Hedelin 📂 Article 📅 1978 🏛 Elsevier Science 🌐 English ⚖ 720 KB

An investigation of sampled estimators as an alternative to continuous-time Kalman filters and smoothers reveals the importance of a pre-sampler filter, the optimal sample rate for smoothers, the small number of lags required to approach ideal i~nite-lag smoothing, and the much lower sample rate acc

Estimation of Lyapunov spectra from spac
Estimation of Lyapunov spectra from space–time data
✍ Martin J. Bünner; R. Hegger 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 98 KB

A method to estimate Lyapunov spectra from spatio-temporal data is presented, which is well-suited to be applied to experimental situations. It allows to characterize the high-dimensional chaotic states, with possibly a large number of positive Lyapunov exponents, observed in spatio-temporal chaos.