Scaling transition for long-range dependent Gaussian random fields
Donata Puplinskaite, Donatas Surgailis

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Abstract
In Puplinskaite and Surgailis (2014) we introduced the notion of scaling transition for stationary random fields on in terms of partial sums limits, or scaling limits, of over rectangles whose sides grow at possibly different rate. The present paper establishes the existence of scaling transition for a natural class of stationary Gaussian random fields on with long-range dependence. The scaling limits of such random fields are identified and characterized by dependence properties of rectangular increments.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Financial Risk and Volatility Modeling · Stochastic processes and financial applications
