Use this URL to cite or link to this record in EThOS:
Title: Stable and multistable processes and localisability
Author: Liu, Lining
ISNI:       0000 0004 2719 7528
Awarding Body: University of St Andrews
Current Institution: University of St Andrews
Date of Award: 2010
Availability of Full Text:
Access from EThOS:
Access from Institution:
We first review recent work on stable and multistable random processes and their localisability. Then most of the thesis concerns a new approach to these topics based on characteristic functions. Our aim is to construct processes on R, which are α(x)-multistable, where the stability index α(x) varies with x. To do this we first use characteristic functions to define α(x)-multistable random integrals and measures and examine their properties. We show that an α(x)-multistable random measure may be obtained as the limit of a sequence of measures made up of α-stable random measures restricted to small intervals with α constant on each interval. We then use the multistable random integrals to define multistable random processes on R and study the localisability of these processes. Thus we find conditions that ensure that a process locally ‘looks like’ a given stochastic process under enlargement and appropriate scaling. We give many examples of multistable random processes and examine their local forms. Finally, we examine the dimensions of graphs of α-stable random functions defined by series with α-stable random variables as coefficients.
Supervisor: Falconer, Kenneth Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: Multistable ; Localisability ; QA274.L58 ; Stochastic processes ; Characteristic functions