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Related papers: Semi-Selfdecomposable Laws and Related Processes

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The general concept of nonlinear self-adjointness of differential equations is introduced. It includes the linear self-adjointness as a particular case. Moreover, it embraces the previous notions of self-adjoint and quasi self-adjoint…

Mathematical Physics · Physics 2011-09-09 Nail H. Ibragimov

We propose a new method to construct a stationary process and random field with a given decreasing covariance function and any one-dimensional marginal distribution. The result is a new class of stationary processes and random fields. The…

Methodology · Statistics 2024-07-24 Jeonghwa Lee

We develop and generalize the theory of extreme value for non-stationary stochastic processes, mostly by weakening the uniform mixing condition that was previously used in this setting. We apply our results to non-autonomous dynamical…

Dynamical Systems · Mathematics 2017-06-27 Ana Cristina Moreira Freitas , Jorge Milhazes Freitas , Sandro Vaienti

It is known that in many cases distributions of exponential integrals of Levy processes are infinitely divisible and in some cases they are also selfdecomposable. In this paper, we give some sufficient conditions under which distributions…

Statistics Theory · Mathematics 2012-11-26 Anita Behme , Makoto Maejima , Muneya Matsui , Noriyoshi Sakuma

In this paper we define a family of nonlinear, stationary, interpolatory subdivision schemes with the capability of reproducing conic shapes including polynomials upto second order. Linear, non-stationary, subdivision schemes do also…

Numerical Analysis · Mathematics 2024-12-03 Rosa Donat , Sergio López-Ureña

We use Levy processes to generate joint prior distributions, and therefore penalty functions, for a location parameter as p grows large. This generalizes the class of local-global shrinkage rules based on scale mixtures of normals,…

Methodology · Statistics 2011-04-26 Nicholas G. Polson , James G. Scott

We show that a conditional characteristic function of generalized L\'evy stochastic areas can be viewed as a product a selfdecomposable distribution (i.e., L\'evy class L distribution) and its background driving characteristic function.…

Probability · Mathematics 2010-09-21 Zbigniew J. Jurek

In the probability theory limit distributions (or probability measures) are often characterized by some convolution equations (factorization properties) rather than by Fourier transforms (the characteristic functionals). In fact, usually…

Probability · Mathematics 2013-07-24 Zbigniew J. Jurek

In the paper by Fan\cite{F06}, he introduced the marginal selfsimilarity of non-commutative stochastic processes and proved the marginal distributions of selfsimilar processes with freely independent increments are freely selfdecomposable.…

Probability · Mathematics 2022-12-13 Makoto Maejima , Noriyoshi Sakuma

In this article we consider the Levy processes and the corresponding semigroup. We represent the generator of this semigroup in a convolution form. Using the obtained convolution form and the theory of integral equations we investigate the…

Probability · Mathematics 2011-04-05 Lev Sakhnovich

Empirical processes for stationary, causal sequences are considered. We establish empirical central limit theorems for classes of indicators of left half lines, absolutely continuous functions and piecewise differentiable functions. Sample…

Statistics Theory · Mathematics 2007-06-13 Wei Biao Wu

We give a recursive construction of the stationary distribution of multi-type asymmetric simple exclusion processes on a finite ring or on the infinite line $Z$. The construction can be interpreted in terms of "multi-line diagrams" or…

Probability · Mathematics 2020-03-10 James B. Martin

Dilative semistability extends the notion of semi-selfsimilarity for infinitely divisible stochastic processes by introducing an additional scaling in the convolution exponent. It is shown that this scaling relation is a natural extension…

Probability · Mathematics 2016-03-14 Peter Kern , Lina Wedrich

The paper describes the self-decomposable distribution and the background driving L\'evy process (BDLP) associated with the Generalized Tempered Stable (GTS) distribution. Two distributions are provided: the background driving L\'evy…

Probability · Mathematics 2024-05-28 A. H. Nzokem

A theorem providing necessary conditions enabling one to map a nonlinear system of first order partial differential equations to an equivalent first order autonomous and homogeneous quasilinear system is given. The reduction to quasilinear…

Mathematical Physics · Physics 2021-08-02 Matteo Gorgone , Francesco Oliveri

We develop a systematic approach to the linear-noise approximation for stochastic reaction systems with distributed delays. Unlike most existing work our formalism does not rely on a master equation, instead it is based upon a dynamical…

Statistical Mechanics · Physics 2013-12-13 Tobias Brett , Tobias Galla

We construct a family of chaotic dynamical systems with explicit broad distributions, which always violate the central limit theorem. In particular, we show that the superposition of many statistically independent, identically distributed…

chao-dyn · Physics 2009-10-30 Ken Umeno

Several properties of stationary subdivision schemes are nowadays well understood. In particular, it is known that the polynomial generation and reproduction capability of a stationary subdivision scheme is strongly connected with sum…

Numerical Analysis · Mathematics 2015-12-22 Costanza Conti , Lucia Romani , Jungho Yoon

Several important properties of positive semidefinite processes of Ornstein--Uhlenbeck type are analysed. It is shown that linear operators of the form $X\mapsto AX+XA^{\mathrm{T}}$ with $A\in M_d(\mathbb{R})$ are the only ones that can be…

Statistics Theory · Mathematics 2009-09-07 Christian Pigorsch , Robert Stelzer

This article study the class of distributions obtained by subordinating L\'evy processes and L\'evy bases. To do this we derive properties of a suitable mapping obtained via L\'evy mixing. We show that our results can be used to solve the…

Probability · Mathematics 2015-05-04 Orimar Sauri , E. D. Almut Veraart