Minisymposia

Testing in spatial statistics

Organizer: Tomáš Mrkvička

Abstract: Testing the statistical significance brings many challenges in spatial statistics. The parametric spatial model is constructed from more ingredients than the regression model with iid residuals; therefore, the nonparametric method can be useful in spatial statistics even more than in regression analysis with iid residuals. In this minisymposium, new nonparametric methods for variable selection will be presented both in spatial regression and point pattern analysis. Connected to the variable selection in point pattern is the common assumption of second-order intensity-reweighted stationarity, which will also be discussed. Also, nonparametric methods for goodness-of-fit testing will be presented in the new context, i.e., for hot-spot detection in a point pattern or multiple point patterns.