The pair correlation function is a useful tool to analyze spatial point patterns. It is often estimated nonparametrically by a procedure such as kernel smoothing. This article develops a data-driven method for the selection of the bandwidth involved in the estimation. The proposed method uses the idea of least-squares cross-validation which has been often applied for bandwidth selection in density estimation and many other nonparametric estimations. The asymptotic property of the proposed approach will be investigated under an increasing-domain setting in this paper.
- Bandwidth selection
- Least-squares cross-validation
- Pair correlation function
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty