نتایج جستجو برای: stable random measure

تعداد نتایج: 856985  

Journal: :Electronic Journal of Probability 2014

آقابابائی سامانی, کیوان, حسینی, سید سعید, آقائی, فاطمه ,

Stability of synchronous state is a fundamental problem in synchronization. We study Matrix Measure as an approach for investigating of stability of synchronous states of chaotic maps on complex networks. Matrix Measure is a measure which depends on network structure. Using this measure and comparing with synchronization threshold which depends on the function of the map, show us how the synchr...

Journal: :iranian journal of science and technology (sciences) 2015
m. r. mahmoudi

simple harmonizable processes (shp) introduced by soltani and parvardeh (2006) are a large class of nonstationary processes which includes stationary and periodically correlated (pc) processes. detection and estimation of shp structure are important problems when dealing with nonstationary data. in this paper, we study the spectral properties of simple processes and propose a method to detect a...

Journal: :Journal of Mathematical Analysis and Applications 1986

1996
John P. Nolan

A d-dimensional α-stable random vector is determined by a spectral measure Γ (a finite Borel measure on Sd=unit sphere in R) and a shift vector μ ∈ R, e.g. Samorodnitsky and Taqqu (1994). The notation X ∼ Sα,d(Γ, μ) will be used to denote such a stable random vector. Until recently, there has been little understanding of what multivariate stable distributions look like, nor any methods for work...

Journal: :J. Algorithms 2005
Moni Naor

We discuss the carpool problem, where one has to assign drivers to subsets of participants who commute regularly. Fagin and Williams defined a notion of fair share for participants (the FW share). We provide an axiomatic characterization of the fair share and show that the FW share is the unique one satisfying these requirements. We define a coalitional game where the Shapley value is the FW sh...

Journal: :Journal of Mathematical Sciences 2016

2007
Daniel Cooley Richard A. Davis Philippe Naveau

The dependence structure of a max-stable random vector is characterized by its spectral measure. Using only the spectral measure, we present a method for approximating the conditional density of an unobserved component of a max-stable random vector given the other components of the vector. The approximated conditional density can be used for prediction. Additionally, we present a new parametric...

Journal: :bulletin of the iranian mathematical society 0
j. a. diaz-garcia universidad autonoma agraria antonio narro

in this work are studied the jacobians of certain singular transformations and the corresponding measures which support the jacobian computations.

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