arXiv · 1104.0059
Multivariate Operator-Self-Similar Random Fields
Abstract
Multivariate random fields whose distributions are invariant under operator-scalings in both time-domain and state space are studied. Such random fields are called operator-self-similar random fields and their scaling operators are characterized. Two classes of operator-self-similar stable random fields $X=\{X(t), t \in \R^d\}$ with values in $\R^m$ are constructed by utilizing homogeneous functions and stochastic integral representations.
Explore related subjects
Keep this discovery
Yuqiang Li, Yimin Xiao. 2011-04-01. Multivariate Operator-Self-Similar Random Fields. https://doi.org/10.1016/j.spa.2011.02.005
Cite the original work for its findings. Save a collection to share your selection of sources.