Green, PJ; Thomas, A(Oxford University Press (OUP), 2013-01-01)
Full Bayesian computational inference for model determination in undirected graphical models is currently restricted to decomposable graphs or other special cases, except for small-scale problems, say up to 15 variables. ...
This paper considers the problems of estimating the stability region (domain of attraction) and controller design for uncertain linear continuous-time systems with input saturation when linear quadratic (LQ) optimal ...
In studies that involve multivariate outcomes it is often of interest to test for a common exposure effect. For example, our research is motivated by a study of neurocognitive performance in a cohort of HIV-infected women. ...
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. ...
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 generalized t (GT) distributions. ...
Di Guilmi, C; Gallegati, M; Ormerod, P(Elsevier Science BV, 2004-01)
Self-similar models are largely used to describe the extinction rate of biological species. In this paper we analyse the extinction rate of firms in eight OECD countries. Firms are classified by industrial sectors and ...
Delli Gatti, D; Di Guilmi, C; Gallegati, M; Gaffeo, E; Giulioni, G; Palestrini, A(World Scientific, 2008-01)
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 ...
Zinder, Y(Western Australian Centre of Excellence in Industrial Optimisation, Curtin University of Technology, 2005-01)
The paper is concerned with the problem of shceduling a partially ordered set of unit execution time tasks on parallel identical machines in ordered to minimise the criterion of maximum lateness which plays one of the ...
Two extensions of the classical scheduling model with two parallel identical machines and a partially ordered set of unit execution time tasks are considered. It is well known that the Coffman-Graham algorithm constructs ...
Zinder, Y; Singh, G; Su, B; Sorli, RM(Universal Academy Press Inc, 2007-01)
The paper is concerned iwth the problem of scheduling partially ordered unit execution time tasks on parallel processors with unit communication delays and release times. Two criteria are considered the maximum lateness ...
Motivation: The coiled coil is a ubiquitous a-helical protein structure domain that directs and facilitates protein¿protein interactions in a wide variety of biological processes. At the protein-sequence level, coiled coils ...
In this presentation, we developed an intuitive algorithm based on some simple concepts that were found in this study. It is more e2cient than the best-known existing algorithm. The computational complexity of the proposed ...
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 concerns of teachers and students in integrating computer technology in the classroom may influence how computer technology is ultimately implemented. There has been substantial research into reasons for teacher ...
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 ...
We propose a semiparametric approach to the proportional hazards regression analysis of interval-censored data. An EM algorithm based on an approximate likelihood leads to an M-step that involves maximizing a standard Cox ...
Semiparametric regression models that use spline basis functions with penalization have graphical model representations. This link is more powerful than previously established mixed model representations of semiparametric ...