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We report on a considerable improvement in the technique of measuring multiparticle correlations via integrals over correlation functions. A modification of measures used in the characterization of chaotic dynamical sytems permits fast and…

High Energy Physics - Phenomenology · Physics 2009-10-22 H. C. Eggers , P. Lipa , P. Carruthers , B. Buschbeck

We describe spatio-temporal random processes using linear mixed models. We show how many commonly used models can be viewed as special cases of this general framework and pay close attention to models with separable or product-sum…

Methodology · Statistics 2021-06-01 Michael Dumelle , Jay M. Ver Hoef , Claudio Fuentes , Alix Gitelman

We provide a simple algorithm for construction of Brownian paths approximating those of a L\'evy process on a finite time interval. It requires knowledge of the L\'evy process trajectory on a chosen regular grid and the law of its endpoint,…

Probability · Mathematics 2021-10-25 Vladimir Fomichov , Jorge González Cázares , Jevgenijs Ivanovs

A new class of dependent random measures which we call {\it compound random measures} are proposed and the use of normalized versions of these random measures as priors in Bayesian nonparametric mixture models is considered. Their…

Methodology · Statistics 2015-09-03 Jim E. Griffin , Fabrizio Leisen

Our goal is to estimate the characteristic exponent of the input to a L\'evy-driven storage system from a sample of equispaced workload observations. The estimator relies on an approximate moment equation associated with the…

Probability · Mathematics 2024-08-29 Dennis Nieman , Michel Mandjes , Liron Ravner

In the paper we study the models of time-changed Poisson and Skellam-type processes, where the role of time is played by compound Poisson-Gamma subordinators and their inverse (or first passage time) processes. We obtain explicitly the…

Probability · Mathematics 2017-07-04 Khrystyna Buchak , Lyudmyla Sakhno

Embedded random matrix ensembles with $k$-body interactions are well established to be appropriate for many quantum systems. For these ensemble the two point correlation function is not yet derived though these ensembles are introduced 50…

Quantum Physics · Physics 2023-06-07 V. K. B. Kota

We consider random variables of the form $F=f(V_1,...,V_n)$, where $f$ is a smooth function and $V_i,i\in\mathbb{N}$, are random variables with absolutely continuous law $p_i(y) dy$. We assume that $p_i$, $i=1,...,n$, are piecewise…

Probability · Mathematics 2007-05-23 Vlad Bally , Marie-Pierre Bavouzet , Marouen Messaoud

We consider additive functionals of systems of random measures whose initial configuration is given by a Poisson point process, and whose individual components evolve according to arbitrary Markovian or non-Markovian measure valued…

Probability · Mathematics 2025-12-03 Arturo Jaramillo , Antonio Murillo-Salas

Pricing of the lookback options using the Clark-Ocone formula for the underlying assets driven by stochastic L\'evy processes requires computing the Malliavin derivatives of their maximum or minimum on the Wiener-Poisson space and their…

Probability · Mathematics 2025-05-27 Mahdieh Tahmasebi

This paper gives a PDE for multi-time joint probability of the Airy process, which generalizes Adler and van Moerbeke's result on the 2-time case. As an intermediate step, the PDE for the multi-time joint probability of the Dyson Brownian…

Probability · Mathematics 2007-11-27 Dong Wang

In this paper we study the problem of statistical inference for a continuous-time moving average L\'evy process of the form $$Z_{t} = \int_{\mathbb{R}}\mathcal{K}(t-s)\, dL_{s},\quad t\in\mathbb{R}$$ with a deterministic kernel (\K\) and a…

Statistics Theory · Mathematics 2016-08-19 Denis Belomestny , Vladimir Panov , Jeannette Woerner

Multiple Mellin-Barnes integrals are often used for perturbative calculations in particle physics. In this context, the evaluation of such objects may be performed through residues calculations which lead to their expression as multiple…

Mathematical Physics · Physics 2015-05-28 Samuel Friot , David Greynat

Analytical and numerical studies on many-body stochastic processes with multiplicative interactions are reviewed. The method of moment relations is used to investigate effects of asymmetry and randomness in interactions. Probability…

Statistical Mechanics · Physics 2009-11-11 Akihiro Fujihara , Toshiya Ohtsuki , Hiroshi Yamamoto

Partial differential equations (PDE) on manifolds arise in many areas, including mathematics and many applied fields. Among all kinds of PDEs, the Poisson-type equations including the standard Poisson equation and the related eigenproblem…

Numerical Analysis · Mathematics 2015-08-05 Zhen Li , Zuoqiang Shi , Jian Sun

In this paper we consider an equilibrium last-passage percolation model on an environment given by a compound two-dimensional Poisson process. We prove an $\LL^2$-formula relating the initial measure with the last-passage percolation time.…

Probability · Mathematics 2011-08-17 Eric Cator , Marcio Watanabe , Leandro P. R. Pimentel

Instrumental variable methods are often used for parameter estimation in the presence of confounding. They can also be applied in stochastic processes. Instrumental variable analysis exploits moment equations to obtain estimators for causal…

Statistics Theory · Mathematics 2023-02-22 Søren Wengel Mogensen

The Vlasov-Poisson-Boltzmann system is often used to govern the motion of plasmas consisting of electrons and ions with disparate masses when collisions of charged particles are described by the two-component Boltzmann collision operator.…

Analysis of PDEs · Mathematics 2017-10-25 Renjun Duan , Shuangqian Liu

The aim of this note is to give an alternative construction of interlacements - as introduced by Sznitman - which makes use of classical probabilistic potential theory. In particular, we outline that the intensity measure of an…

Probability · Mathematics 2015-01-06 Steffen Dereich , Leif Doering

We propose a new method to apply the Lipschitz functional calculus of local Dirichlet forms to Poisson random measures.

Probability · Mathematics 2008-09-03 Nicolas Bouleau