Two kinds of conditionings for stable L\'evy processes
Kouji Yano

TL;DR
This paper explores two types of conditionings for one-dimensional stable Lévy processes using $h$-transforms of excursion measures, focusing on processes that stay positive or avoid the origin.
Contribution
It introduces a novel approach to condition stable Lévy processes via $h$-transforms, expanding understanding of their behavior under specific constraints.
Findings
Characterization of stable Lévy processes conditioned to stay positive.
Analysis of processes conditioned to avoid the origin.
Development of $h$-transform techniques for these conditionings.
Abstract
Two kinds of conditionings for one-dimensional stable L\'evy processes are discussed via -transforms of excursion measures: One is to stay positive, and the other is to avoid the origin.
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Taxonomy
TopicsProbability and Risk Models · Stochastic processes and financial applications · Stochastic processes and statistical mechanics
