A Thinned Block Bootstrap Variance Estimation Procedure for Inhomogeneous Spatial Point Patterns
非齐次空间点模式的稀疏化分块自助方差估计
When modeling inhomogeneous spatial point patterns, it is of interest to fit a parametric model for the first-order intensity function (FOIF) of the process in terms of some measured covariates. Estimates for the regression coefficients, say , can be obtained by maximizing a Poisson maximum likelihood criterion. Little work has been done on the asymptotic distribution of except in some special cases. In this article we show that is asymptotically normal for a general class…