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Lévy processes and infinitely divisible distributions

健一 佐藤
TLDR
In this paper, the authors consider the distributional properties of Levy processes and propose a potential theory for Levy processes, which is based on the Wiener-Hopf factorization.
Abstract
Preface to the revised edition Remarks on notation 1. Basic examples 2. Characterization and existence 3. Stable processes and their extensions 4. The Levy-Ito decomposition of sample functions 5. Distributional properties of Levy processes 6. Subordination and density transformation 7. Recurrence and transience 8. Potential theory for Levy processes 9. Wiener-Hopf factorizations 10. More distributional properties Supplement Solutions to exercises References and author index Subject index.

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Citations
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Compound random measures and their use in Bayesian non-parametrics

TL;DR: In this paper, a new class of dependent random measures called compound random measures is proposed and the use of normalized versions of these random measures as priors in Bayesian nonparametric mixture models is considered.
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Introductory Lectures on Stochastic Population Systems

TL;DR: A review of basic stochastic population models including branching processes and models of population genetics can be found in this paper, where some basic methods for their analysis are also introduced together with some basic metrics.
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Sparse Stochastic Processes and Discretization of Linear Inverse Problems

TL;DR: A novel statistically-based discretization paradigm is presented and a class of maximum a posteriori (MAP) estimators for solving ill-conditioned linear inverse problems are derived, guided by the theory of sparse stochastic processes.
Journal ArticleDOI

Time-changed Poisson processes

TL;DR: In this article, the authors considered time-changed Poisson processes and derived the governing difference-differential equations (DDEs) for these processes, and derived a new governing partial differential equation for the tempered stable subordinator of index 0 β 1.
Journal ArticleDOI

Approximation properties for solutions to non-Lipschitz stochastic differential equations with Lévy noise

TL;DR: In this paper, the authors considered non-Lipschitz stochastic differential equations with delays driven by Levy noise, and the approximation theorems for the solutions to these two kinds of equations were proposed respectively.
References
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BookDOI

Fluctuations of Lévy Processes with Applications

TL;DR: In this article, Kloeden, P., Ombach, J., Cyganowski, S., Kostrikin, A. J., Reddy, J.A., Pokrovskii, A., Shafarevich, I.A.
Journal ArticleDOI

Ten equivalent definitions of the fractional laplace operator

TL;DR: In this article, several definitions of the Riesz fractional Laplace operator in R^d have been studied, including singular integrals, semigroups of operators, Bochner's subordination, and harmonic extensions.
Book ChapterDOI

The Theory of Scale Functions for Spectrally Negative Lévy Processes

TL;DR: In this article, the authors give an up-to-date account of the theory and applications of scale functions for spectrally negative Levy processes, including the first extensive overview of how to work numerically with scale functions.
Journal ArticleDOI

Optimal stopping and perpetual options for Lévy processes

TL;DR: A closed formula for prices of perpetual American call options in terms of the overall supremum of the Lévy process, and a corresponding closed formulas for perpetual American put options involving the infimum of the after-mentioned process are obtained.

Extreme Events: Dynamics, Statistics and Prediction

Michael Ghil
TL;DR: In this paper, the authors review work on extreme events, their causes and consequences, by a group of European and American researchers involved in a three-year project on these topics.