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Multifractality in space-time statistical models

机译:时空统计模型中的多重分形

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摘要

This paper introduces two families of space-time random models with multifractal spatial characteristics, respectively generated in continuous and discrete time, and both defined on multifractal spatial domains. The definition of the first class is given in terms of a Feller semigroup generated by a pseudodifferential operator of variable order. In the second case, the spatial process at time t + 1 is obtained by applying a variable order blurring operator to the spatial process at time t and adding the innovation given by a spatiotemporal process uncorrelated in time. Spatial multi-fractal properties of the two classes of space-time processes introduced are analyzed. The implementation of space-time filtering and prediction techniques is also discussed.
机译:本文介绍了具有多重分形空间特征的两个时空随机模型族,分别在连续时间和离散时间生成,并且都在多重分形空间域上定义。第一类的定义是由可变阶伪微分算子生成的Feller半群给出的。在第二种情况下,通过将可变阶模糊算子应用于时间t的空间过程并添加时间上不相关的时空过程所提供的创新,来获得时间t + 1处的空间过程。分析了引入的两类时空过程的空间多重分形特性。还讨论了时空滤波和预测技术的实现。

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