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A particle system is a family of i.i.d. stochastic processes with values translated by Poisson points. We obtain conditions that ensure the stationarity in time of the particle system in R^d and in some cases provide a full characterisation…

Probability · Mathematics 2013-11-05 Ilya Molchanov , Kaspar Stucki

In this note, we show that the limiting spectral distribution of symmetric random matrices with stationary entries is absolutely continuous under some sufficient conditions. This result is applied to obtain sufficient conditions on a…

Probability · Mathematics 2015-02-10 Arijit Chakrabarty , Rajat Subhra Hazra

In this paper, we give a new covariation spectral representation of some non stationary symmetric $\alpha$-stable processes (S$\alpha$S). This representation is based on a weaker covariation pseudo additivity condition which is more general…

Probability · Mathematics 2008-02-22 Nourddine Azzaoui

We introduce a new class of stochastic processes which are stationary, Markovian and characterized by an infinite range of time-scales. By transforming the Fokker-Planck equation of the process into a Schrodinger equation with an…

Statistical Mechanics · Physics 2007-05-23 Fabrizio Lillo , Salvatore Micciche' , Rosario N. Mantegna

We derive a necessary and sufficient condition for stochastic processes to have almost periodic finite dimensional distributions; in particular, we obtain characterizations for infinitely divisible processes to be almost periodic in terms…

Probability · Mathematics 2022-08-18 David Berger , Farid Mohamed

Let $X$ be a stationary process with values in some $\sigma$-finite measured state space $(E,\mathcal{E},\pi)$, indexed by ${\mathbb Z}$. Call ${\mathcal F}^X$ its natural filtration. In \cite{ceillierstationary}, sufficient conditions were…

Probability · Mathematics 2016-03-17 Ceillier Gaël , Leuridan Christophe

We are studying stationary random processes with conditional polynomial moments that allow a continuous path modification. Processes with continuous path modification, are important because they are relatively easy to simulate. One does not…

Probability · Mathematics 2024-11-21 Paweł J. Szabłowski

In this work, we present sufficient conditions for the existence of a stationary solution of an abstract stochastic Cauchy problem driven by an arbitrary cylindrical L\'evy process, and show that these conditions are also necessary if the…

Probability · Mathematics 2019-04-08 Umesh Kumar , Markus Riedle

We study the long-time behavior of stochastic models with an absorbing state, conditioned on survival. For a large class of processes, in which saturation prevents unlimited growth, statistical properties of the surviving sample attain…

Statistical Mechanics · Physics 2009-11-07 Ronald Dickman , Ronaldo Vidigal

We investigate a zero-range process where the underlying one-particle stationary distribution has multifractality. The multiparticle stationary probability measure can be written in a factorized form. If the number of the particles is…

Statistical Mechanics · Physics 2016-09-13 Hiroshi Miki

The aim of this paper is to provide conditions which ensure that the affinely transformed partial sums of a strictly stationary process converge in distribution to an infinite variance stable distribution. Conditions for this convergence to…

Probability · Mathematics 2011-10-20 Katarzyna Bartkiewicz , Adam Jakubowski , Thomas Mikosch , Olivier Wintenberger

In stochastic partial differential equations it is important to have pathwise regularity properties of stochastic convolutions. In this note we present a new sufficient condition for the pathwise continuity of stochastic convolutions in…

Probability · Mathematics 2015-03-17 Mark Veraar , Lutz Weis

The aim of this paper is to give a simpler, more usable sufficient condition to the regularity of generic weakly stationary time series. Also, this condition is used to show how regular processes satisfying these sufficient conditions can…

Statistics Theory · Mathematics 2022-11-28 Tamás Szabados

Necessary and sufficient conditions are given for a substochastic semigroup on $L^1$ obtained through the Kato--Voigt perturbation theorem to be either stochastic or strongly stable. We show how such semigroups are related to piecewise…

Functional Analysis · Mathematics 2009-05-14 Marta Tyran-Kaminska

There are some positively divisible non-Markovian processes whose transition matrices satisfy the Chapman-Kolmogorov equation. These processes should also satisfy the Kolmogorov consistency conditions, an essential requirement for a process…

Probability · Mathematics 2024-01-24 Bilal Canturk , Heinz-Peter Breuer

A nonlinear stochastic differential equation with the order of nonlinearity higher than one, with several discrete and distributed delays and time varying coefficients is considered. It is shown that the sufficient conditions for…

Probability · Mathematics 2018-10-25 Leonid Shaikhet

A real harmonizable multifractional stable process is defined, its H\"older continuity and localizability are proved. The existence of local time is shown and its regularity is established.

Probability · Mathematics 2012-06-28 Marco Dozzi , Georgiy Shevchenko

We establish necessary and sufficient conditions for the uniform integrability of the stochastic exponential E(M).

Probability · Mathematics 2019-07-12 Besik Chikvinidze

We show that stochastically continuous, time-homogeneous affine processes on the canonical state space $\Rplus^m \times \RR^n$ are always regular. In the paper of \citet{Duffie2003} regularity was used as a crucial basic assumption. It was…

Probability · Mathematics 2010-02-12 Martin Keller-Ressel , Walter Schachermayer , Josef Teichmann

Many dynamical systems arising in biology and other areas exhibit multistationarity (two or more positive steady states with the same conserved quantities). Although deciding multistationarity for a polynomial dynamical system is an…

Molecular Networks · Quantitative Biology 2019-02-08 Alicia Dickenstein , Mercedes Perez Millan , Anne Shiu , Xiaoxian Tang
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