-
作者：Titterington, D. M.
作者单位：University of Glasgow
摘要：Highlights, trends and influences are identified associated with the pages of Biometrika subsequent to the editorship of Karl Pearson.
-
作者：Dombry, C.; Eyi-Minko, F.; Ribatet, M.
作者单位：Universite de Poitiers; Universite de Montpellier
摘要：Since many environmental processes are spatial in extent, a single extreme event may affect several locations, and the spatial dependence must be taken into account in an appropriate way. This paper proposes a framework for conditional simulation of max-stable processes and gives closed forms for the regular conditional distributions of Brown-Resnick and Schlather processes. We test the method on simulated data and present applications to extreme rainfall around Zurich and extreme temperatures...
-
作者：Kleiber, William; Genton, Marc G.
作者单位：University of Colorado System; University of Colorado Boulder; King Abdullah University of Science & Technology
摘要：We derive sufficient conditions for the cross-correlation coefficient of a multivariate spatial process to vary with location when the spatial model is augmented with nugget effects. The derived class is valid for any choice of covariance functions, and yields substantial flexibility between multiple processes. The key is to identify the cross-correlation coefficient matrix with a contraction matrix, which can be either diagonal, implying a parsimonious formulation, or a fully general contract...
