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In this paper we study a family of nonlinear (conditional) expectations that can be understood as a semimartingale with uncertain local characteristics. Here, the differential characteristics are prescribed by a time and path-dependent…

概率论 · 数学 2023-11-07 David Criens , Lars Niemann

Motivated by a risk process with positive and negative premium rates, we consider a real-valued Markov additive process with finitely many background states. This additive process linearly increases or decreases while the background state…

概率论 · 数学 2008-08-21 Masakiyo Miyazawa

In this paper, we are concerned with centered Markov Additive Processes $\{(X_t,Y_t)\}_{t\in\T}$ where the driving Markov process $\{X_t\}_{t\in\T}$ has a finite state space. Under suitable conditions, we provide a local limit theorem for…

概率论 · 数学 2013-06-25 Loïc Hervé , James Ledoux

Let $(X_n)_{n\ge 1}$ be a Markov chain on a measurable state space $X$, and let $S_n = \sum_{k=1}^n f(X_k)$ be the associated Markov walk. For $y>0$, denote by $\tau_y$ the first time at which $y+S_n$ becomes non-positive. Assuming that the…

概率论 · 数学 2025-12-19 Yunfan Zhao , Xiaojing Chen

For a continuous-time Markov process, we characterize the law of the first jump location when started from an arbitrary initial distribution, in terms of the invariant distribution of an auxiliary Markov process. This could be of interest…

概率论 · 数学 2019-08-23 Andi Q. Wang , David Steinsaltz

It is shown that non-Markovian master equations for an open system which are local in time can be unravelled through a piecewise deterministic quantum jump process in its Hilbert space. We derive a stochastic Schr\"odinger equation that…

量子物理 · 物理学 2009-11-13 Heinz-Peter Breuer , Jyrki Piilo

We examine two analytical characterisation of the metastable behavior of a Markov chain. The first one expressed in terms of its transition probabilities, and the second one in terms of its large deviations rate functional. Consider a…

概率论 · 数学 2022-07-07 L. Bertini , D. Gabrielli , C. Landim

We study a real-valued L\'evy-type process $X$, which is locally $\alpha$-stable in the sense that its jump kernel is a combination of a `principal' (state dependent) $\alpha$-stable part with a `residual' lower order part. We show that…

概率论 · 数学 2019-07-09 Alexei Kulik

We prove that the Markov operator associated to an iterated function system consisting of phi-max-contractions with probabilities has a unique invariant measure whose support is the attractor of the system.

经典分析与常微分方程 · 数学 2017-05-16 Flavian Georgescu , Radu Miculescu , Alexandru Mihail

We study scaling limits of non-increasing Markov chains with values in the set of non-negative integers, under the assumption that the large jump events are rare and happen at rates that behave like a negative power of the current state. We…

概率论 · 数学 2012-01-06 Bénédicte Haas , Grégory Miermont

In this paper, we investigate the functional central limit theorem for stochastic processes associated to partial sums of additive functionals of reversible Markov chains with general spate space, under the normalization standard deviation…

概率论 · 数学 2022-08-02 Magda Peligrad , Sergey Utev

Consider a system of interacting particles indexed by the nodes of a graph whose vertices are equipped with marks representing parameters of the model such as the environment or initial data. Each particle takes values in a countable state…

概率论 · 数学 2022-10-18 Ankan Ganguly , Kavita Ramanan

Piecewise-deterministic Markov processes form a general class of non-diffusion stochastic models that involve both deterministic trajectories and random jumps at random times. In this paper, we state a new characterization of the jump rate…

统计方法学 · 统计学 2017-05-03 Romain Azaïs , Alexandre Genadot

We introduce a variational theory for processes adapted to the multi-dimensional Brownian motion filtration. The theory provides a differential structure which describes the infinitesimal evolution of Wiener functionals at very small…

概率论 · 数学 2017-07-13 Alberto Ohashi , Dorival Leão , Alexandre B. Simas

In this paper we derive non asymptotic deviation bounds for $$\P_\nu (|\frac 1t \int_0^t V(X_s) ds - \int V d\mu | \geq R)$$ where $X$ is a $\mu$ stationary and ergodic Markov process and $V$ is some $\mu$ integrable function. These bounds…

概率论 · 数学 2007-05-23 Patrick Cattiaux , Arnaud Guillin

This paper is concerned with the development of rigorous approximations to various expectations associated with Markov chains and processes having non-stationary transition probabilities. Such non-stationary models arise naturally in…

概率论 · 数学 2018-05-07 Zeyu Zheng , Harsha Honnappa , Peter W. Glynn

Consider an N-dimensional Markov chain obtained from N one-dimensional random walks by Doob h-transform with the q-Vandermonde determinant. We prove that as N becomes large, these Markov chains converge to an infinite-dimensional Feller…

概率论 · 数学 2014-10-03 Alexei Borodin , Vadim Gorin

In this paper we investigate the local limit theorem for additive functionals of a nonstationary Markov chain with finite or infinite second moment. The moment conditions are imposed on the individual summands and the weak dependence…

概率论 · 数学 2020-06-25 Florence Merlevède , Magda Peligrad , Costel Peligrad

In the paper we consider some piecewise deterministic Markov process whose continuous component evolves according to semiflows, which are switched at the jump times of a Poisson process. The associated Markov chain describes the states of…

The focus of this article is on entropy and Markov processes. We study the properties of functionals which are invariant with respect to monotonic transformations and analyze two invariant "additivity" properties: (i) existence of a…

数据分析、统计与概率 · 物理学 2013-11-12 A. N. Gorban , P. A. Gorban , G. Judge