A bstract We present a global analysis program for the generalized parton distributions (GPDs) based on conformal moment expansion. apply strategy of universal parameterization to fit both collinear distribution functions (PDFs) from phenomenology and form factors lattice calculations, show that is flexible enough accommodate these constraints. In addition, we can also direct calculations GPDs ...

The traditional moment generating functions of random variables and their probability distributions are known to not exist for all and/or at points and, where they exist, serious difficult tedious manipulations needed the evaluation higher central non-central moments. This paper developed generalized multivariate function some vectors/matrices distribution with intention replace traditional/con...

he linear exponential distribution is a very well-known distribution for modeling lifetime data in reliability and medical studies.We introduce in this paper a new four-parameter generalized version of the transmuted generalized linear exponential distribution.We provide a comprehensive account of the mathematical properties of the new distributions. In particular, A closed-form expressions for...

Moment conditions for multivariate generalized Ornstein-Uhlenbeck (MGOU) processes are derived and first and second moment are given in terms of the driving Lévy processes. In the second part of the paper a class of multivariate, positive semidefinite processes of MGOU–type is developed and suggested for use as squared volatility process in multivariate financial modelling.

We establish the limiting distribution (in total variation) of the quasi posteriors based on moment conditions, which only partially identify the parameters of interest. Some examples are discussed. Some key words: Generalized method of moments, interval data, moment inequalities, partial identification, quasi-posterior, total variation. MSC2010 Classification Codes: 62F15, 62F99.

This paper is concerned with pth moment exponential stability of stochastic reaction-diffusion Cohen-Grossberg neural networks with time-varying delays. With the help of Lyapunov method, stochastic analysis, and inequality techniques, a set of new suffcient conditions on pth moment exponential stability for the considered system is presented. The proposed results generalized and improved some e...

The well-known second moment Heisenberg-Weyl inequality (or uncertainty relation) states: Assume that f : R → C is a complex valued function of a random real variable x such that f ∈ L(R), where R = (−∞,∞). Then the product of the second moment of the random real x for |f | and the second moment of the random real ξ for ∣∣∣f̂ ∣∣∣2 is at least ER,|f |2 / 4π, where f̂ is the Fourier transform of f ...