Abstract
We use characteristic functions to construct alpha-multistable measures and integrals, where the measures behave locally like stable measures, but with the stability index alpha(x) varying with x. This enables us to construct alpha-multistable processes on R, that is processes whose scaling limit at time t is an alpha(t)-stable process. We present several examples of such multistable processes and examine their localisability.
Original language | English |
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Pages (from-to) | 503-526 |
Number of pages | 23 |
Journal | Stochastic Models |
Volume | 28 |
Issue number | 3 |
Early online date | 1 Aug 2012 |
DOIs | |
Publication status | Published - 2012 |
Keywords
- Localizable
- Multistable measure
- Multistable process
- Scaling limit
- Stable process