Spatial Statistics: Methodological Aspects and Applications

This volume contains presentations by eminent researchers: Statistical Inference for Spatial Processes; Image Analysis; Applications of Spatial Statistics in Earth, Environmental, and Health Sciences; and Statistics of Brain Mapping. They range from asymptotic considerations for spatial processes to practical considerations related to particular applications including important methodological aspects. Many contributions concern image analysis, mainly images related to brain mapping.

Inhalt

Asymptotic Distribution of the Empirical Cumulative Distribution Function Predictor under Nonstationarity (J. Zhu, S. Lahiri, N. Cressie) Robustness Problems in the Analysis of Spatial Data (M. Genton) Standards Adoption Dynamics and Test for Nonspatial Coordination (C. Hardouin, X. Guyon) Random Fields on Z^d, Limit Theorems and Irregular Sets (G. Perera) Multiscale Graphical Modeling in Space: Applications to Command and Control (H.-C. Huang, N. Cressie) Unsupervised Image Segmentation Using a Telegraph Parametrization of Picakrd Random Field (J. Idier, Y. Goussard, A. Ridolfi) Estimation of Motion from Sequences of Images (V. Gelpke, H. Künsch) Applications of Random Fields in Human Brain Mapping (J. Cao, K. Worsley) In Praise of Tedious Permuation (E. Bullmore, J. Suckling, M. Brammer) Group Analysis of Individual Activation Maps Using 3D Scale-Space Primal Sketches and a Markovian Random Field (O. Coulon, J.-F. Mangin, J.-B. Poline, V. Frouin, I. Bloch) Some Statistical Aspects of Magnetoencephalography (B. Lütkenhöner) Statistics of Nonlinear Spatial Distortions in Histological Images (T. Schormann, A. Dabringhaus) Statistical Analysis of Brain Maps: Some Lessons from Morphometrics (F. Bookstein)