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Estimation of volume using the nucleator and lattice points

Abstract: The nucleator is a method to estimate the volume of a particle, i.e., a compact subset of R3, which is widely used in Stereology. It is based on geometric sampling and known to be unbiased. However, the prediction of the variance of this estimator is non-trivial and depends on the underlying sampling scheme. We propose well established tools from quasi-Monte Carlo integration to address this problem. In particular, we show how the theory of reproducing kernel Hilbert spaces can be used for variance prediction and how the variance of estimators based on the nucleator idea can be reduced using lattice (or lattice-like) points. We illustrate and test our results on various examples.

Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria

 Fuente: Image Anal Stereol 2019;38:141-150

 Año de publicación: 2019

Nº de páginas: 10

Tipo de publicación: Artículo de Revista

 DOI: 10.5566/ias.2012

ISSN: 1580-3139,1854-5165