This paper presents two types of symmetric scale mixture probability distributions which include the normal, Student t, Pearson Type VII, variance gamma, exponential power, uniform power and generalised t (GT) distributions. ...

The practice of detecting power laws and scaling behaviors in economics and finance has gained momentum in the last few years, due to the increased use of concepts and methods first developed in statistical physics. Some ...

In this paper, "rst we develop an intuitive algorithm using the shortest path based upon the reformation of all MCs in the original network. Next, the computational complexity of the proposed algorithm is analyzed and ...

The seismic random vibration responses of shear beam structures with uncertainty are investigated. The structural mass and stiffness are considered as random variables. The excitations adopted are stationary or non-stationary ...

Semiparametric regression is a fusion between parametric regression and nonparametric regression that integrates low-rank penalized splines, mixed model and hierarchical Bayesian methodology ¿ thus allowing more streamlined ...

Many business situations such as events, products and services, are often described in a hierarchical structure. When we use case-based reasoning (CBR) techniques to support business decision-making, we require a ...

We present a simple semiparametric model for tting subject-speci c curves for longitudinal data. Individual curves are modelled as penalized splines with random coe cients. This model has a mixed model representation, and ...

Microarray data analysis is a major line of research in bioinformatics. A significant trend in bioinformatics is identifying genes or gene groups that differentiate diseased tissues. Classification is necessary to make ...

This article proposes a number of frequency domain estimation procedures for the ARFIMA model based on a spectral generalized method of moments (SGMM) estimator. It is shown that the SGMM estimator includes as special ...