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In this paper, we study some aspects on random analysis on the L\'eevy stochastic processes with margins following generalized hyperbolic distributions generated by gamma laws. In particular we study the boundedness of its total variations…

Probability · Mathematics 2022-12-14 Nafy Ngom , Aladji Babacar Niang , Soumaila Dembele , Gane Samb Lo

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

Completely random measures (CRMs) and their normalizations are a rich source of Bayesian nonparametric priors. Examples include the beta, gamma, and Dirichlet processes. In this paper we detail two major classes of sequential CRM…

Statistics Theory · Mathematics 2020-05-11 Trevor Campbell , Jonathan H. Huggins , Jonathan P. How , Tamara Broderick

We consider a L\'evy process $Y(t)$ that is not permanently observed, but rather inspected at Poisson($\omega$) moments only, over an exponentially distributed time $T_\beta$ with parameter $\beta$. The focus lies on the analysis of the…

Probability · Mathematics 2021-10-26 Onno Boxma , Michel Mandjes

Infinite-activity completely random measures (CRMs) have become important building blocks of complex Bayesian nonparametric models. They have been successfully used in various applications such as clustering, density estimation, latent…

Statistics Theory · Mathematics 2025-02-06 Juho Lee , Xenia Miscouridou , François Caron

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

We present an exact sampling method for the first passage event of a Levy process. The idea is to embed the process into another one whose first passage event can be sampled exactly, and then recover the part belonging to the former from…

Probability · Mathematics 2012-07-12 Zhiyi Chi

Path decomposition is performed to analyze the pre-supremum, post-supremum, post-infimum and the intermediate processes of a spectrally negative Levy process taken up to an independent exponential time T as motivated by the aim of finding…

Probability · Mathematics 2019-01-30 Ceren Vardar-Acar , Mine Caglar

Nonparametric methods for the estimation of the Levy density of a Levy process are developed. Estimators that can be written in terms of the ``jumps'' of the process are introduced, and so are discrete-data based approximations. A model…

Statistics Theory · Mathematics 2007-06-13 Enrique Figueroa-Lopez , Christian Houdre

For any 0 < alpha <2, a truncated symmetric alpha-stable process is a symmetric Levy process in R^d with a Levy density given by c|x|^{-d-alpha} 1_{|x|< 1} for some constant c. In this paper we study the potential theory of truncated…

Probability · Mathematics 2007-05-23 Panki Kim , Renming Song

A new shrinkage-based construction is developed for a compressible vector $\boldsymbol{x}\in\mathbb{R}^n$, for cases in which the components of $\xv$ are naturally associated with a tree structure. Important examples are when $\xv$…

Machine Learning · Statistics 2014-01-14 Xin Yuan , Vinayak Rao , Shaobo Han , Lawrence Carin

We extend the idea of tempering stable Levy processes to tempering more general classes of Levy processes. We show that the original process can be decomposed into the sum of the tempered process and an independent point process of large…

Probability · Mathematics 2020-01-22 Michael Grabchak

We present a new family of graphs with remarkable properties. They are obtained by connecting the points of a random walk when their distance is smaller than a given scale. Their degree (number of neighbors) does not depend on the graph's…

Statistical Mechanics · Physics 2022-06-15 S. Plaszczynski , G. Nakamura , C. Deroulers , B. Grammaticos , M. Badoual

Truncated Levy flights are stochastic processes which display a crossover from a heavy-tailed Levy behavior to a faster decaying probability distribution function (pdf). Putting less weight on long flights overcomes the divergence of the…

Condensed Matter · Physics 2009-11-10 I. M. Sokolov , A. V. Chechkin , J. Klafter

A dynamical model based on a continuous addition of colored shot noises is presented. The resulting process is colored and non-Gaussian. A general expression for the characteristic function of the process is obtained, which, after a scaling…

Statistical Mechanics · Physics 2009-10-31 Jaume Masoliver , Miquel Montero , Alan McKane

The purpose of this article is to introduce a new L\'evy process, termed Variance Gamma++ process, to model the dynamic of assets in illiquid markets. Such a process has the mathematical tractability of the Variance Gamma process and is…

Mathematical Finance · Quantitative Finance 2022-07-03 M. Gardini , P. Sabino , E. Sasso

For a broad class of the Levy processes the new form (convolution type) of the infinitesimal generators is introduced. It leads to the new notions: a truncated generator, a quasi-potential. The probability of the Levy process remaining…

Probability · Mathematics 2015-09-07 Lev Sakhnovich

An important line of research is the investigation of the laws of random variables known as Dirichlet means as discussed in Cifarelli and Regazzini(1990). However there is not much information on inter-relationships between different…

Probability · Mathematics 2011-11-10 Lancelot F. James

Classes of multivariate and cone valued infinitely divisible Gamma distributions are introduced. Particular emphasis is put on the cone-valued case, due to the relevance of infinitely divisible distributions on the positive semi-definite…

Probability · Mathematics 2015-03-19 Victor Pérez-Abreu , Robert Stelzer

This paper generalizes beta divergence beyond its classical form associated with power variance functions of Tweedie models. Generalized form is represented by a compact definite integral as a function of variance function of the…

Machine Learning · Statistics 2013-06-19 Y. Kenan Yilmaz
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