Asymptotic normality of generalized maximum spacing estimators for multivariate observations
Statistics Theory
2019-04-19 v1 Statistics Theory
Abstract
In this paper, the maximum spacing method is considered for multivariate observations. Nearest neighbour balls are used as a multidimensional analogue to univariate spacings. A class of information-type measures is used to generalize the concept of maximum spacing estimators. Asymptotic normality of these generalized maximum spacing estimators is proved when the assigned model class is correct, that is the true density is a member of the model class.
Cite
@article{arxiv.1904.08625,
title = {Asymptotic normality of generalized maximum spacing estimators for multivariate observations},
author = {Kristi Kuljus and Bo Ranneby},
journal= {arXiv preprint arXiv:1904.08625},
year = {2019}
}