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This is a survey of recent results on central and non-central limit theorems for quadratic functionals of stationary processes. The underlying processes are Gaussian, linear or L\'evy-driven linear processes with memory, and are defined…

Probability · Mathematics 2021-02-02 Mamikon S. Ginovyan , Murad S. Taqqu

This article deals with IDT processes, i.e. processes which are infinitely divisible with respect to time. Given an IDT process $(X_{t},\,t\geq0)$, there exists a unique (in law) L\'evy process $(L_{t}; t\geq0)$ which has the same…

Probability · Mathematics 2014-11-20 Antoine Hakassou , Youssef Ouknine

For a positive self-similar Markov process, X, we construct a local time for the random set, $\Theta$, of times where the process reaches its past supremum. Using this local time we describe an exit system for the excursions of X out of its…

Probability · Mathematics 2012-12-10 Loïc Chaumont , Andreas Kyprianou , Juan Carlos Pardo , Víctor Rivero

The purpose of this paper is to adapt the empirical characteristic function (ECF) method to stable, but possibly not inverse stable linear stochastic system driven by the increments of a Levy-process. A remarkable property of the ECF method…

Methodology · Statistics 2014-01-07 L. Gerencser , M. Manfay

We obtain an intertwining relation between some Riemann-Liouville operators of order a in (1,2) connecting through a certain multiplicative identity in law the one-dimensional marginals of reflected completely asymmetric a-stable L\'evy…

Probability · Mathematics 2022-05-24 Pierre Patie , Thomas Simon

We present a class of L\'evy processes for modelling financial market fluctuations: Bilateral Gamma processes. Our starting point is to explore the properties of bilateral Gamma distributions, and then we turn to their associated L\'evy…

Probability · Mathematics 2025-11-21 Uwe Küchler , Stefan Tappe

We derive the L\'evy-Khintchine representation of the Wiener-Hopf factors for the Normal Inverse Gaussian (NIG) process as well as a representation which is similar to the moment generating function (MGF) of a generalized gamma convolution…

Probability · Mathematics 2019-02-28 Daniel Hackmann

We discuss an impact of various (path-wise) reflection-from-the barrier scenarios upon confining properties of a paradigmatic family of symmetric $\alpha $-stable L\'{e}vy processes, whose permanent residence in a finite interval on a line…

Statistical Mechanics · Physics 2022-07-19 Piotr Garbaczewski , Mariusz Żaba

For a L\'evy process $X$ on a finite time interval consider the probability that it exceeds some fixed threshold $x>0$ while staying below $x$ at the points of a regular grid. We establish exact asymptotic behavior of this probability as…

Probability · Mathematics 2022-01-05 Krzysztof Bisewski , Jevgenijs Ivanovs

Based on the explicit coupling property, the ergodicity and the exponential ergodicity of L\'{e}vy driven Ornstein-Uhlenbeck processes are established.

Probability · Mathematics 2012-05-22 Jian Wang

We consider a Markov additive process with a finite phase space and study its path decompositions at the times of extrema, first passage and last exit. For these three families of times we establish splitting conditional on the phase, and…

Probability · Mathematics 2015-10-14 Jevgenijs Ivanovs

This work contributes to the theory of Wiener-Hopf type factorization for finite Markov chains. This theory originated in the seminal paper Barlow et al. (1980), which treated the case of finite time-homogeneous Markov chains. Since then,…

Probability · Mathematics 2019-03-01 Tomasz R. Bielecki , Ziteng Cheng , Igor Cialenco , Ruoting Gong

Levy processes, which have stationary independent increments, are ideal for modelling the various types of noise that can arise in communication channels. If a Levy process admits exponential moments, then there exists a parametric family…

Probability · Mathematics 2019-05-02 Dorje C. Brody , Lane P. Hughston , Xun Yang

We consider a process $Z$ on the real line composed from a L\'evy process and its exponentially tilted version killed with arbitrary rates and give an expression for the joint law of $Z$ seen from its supremum, the supremum $\overline Z$…

Probability · Mathematics 2014-05-15 Sebastian Engelke , Jevgenijs Ivanovs

Here we propose a different perspective of the deep factorisation in Kyprianou (2015) based on determining potentials. Indeed, we factorise the inverse of the MAP-exponent associated to a stable process via the Lamperti-Kiu transform. Here…

Probability · Mathematics 2017-02-24 Andreas E. Kyprianou , Victor Rivero , Bati Sengul

In this paper we study the mean of the first exit time from a bounded interval of various L\'evy processes. We establish sharp two-sided estimates of the mean for L\'evy processes under certain condition on their characteristic exponents.…

Probability · Mathematics 2019-11-13 Tomasz Grzywny

When is it possible to interpret a given Markov process as a L\'evy-like process? Since the class of L\'evy processes can be defined by the relation between transition probabilities and convolutions, the answer to this question lies in the…

Probability · Mathematics 2020-09-08 Rúben Sousa , Manuel Guerra , Semyon Yakubovich

Several long-time limit theorems of one-dimensional L\'evy processes weighted and normalized by functions of its supremum are studied. The long-time limits are taken via the families of exponential times and that of constant times, called…

Probability · Mathematics 2025-03-18 Shosei Takeda

The paper is devoted to the integral functionals $\int_0^\infty f(X_t)\,{\mathrm{d}t}$ of Markov processes in $\X$ in the case $d\ge 3$. It is established that such functionals can be presented as the integrals $\int_{\X} f(y) \G(x,…

Probability · Mathematics 2022-07-20 Yuri Kondratiev , José L. da Silva

We consider the first exit time of a nonnegative Harris-recurrent Markov process from the interval $[0,A]$ as $A\to\infty$. We provide an alternative method of proof of asymptotic exponentiality of the first exit time (suitably…

Probability · Mathematics 2010-06-07 Moshe Pollak , Alexander G. Tartakovsky