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A Bayesian MCMC based estimation of Long memory in state space model

To estimate the long memory series in the framework of state space model is rarely documented although the theoretical foundation was well built in late 90s, and the literatures concentrate mainly on the estimation in stationary case. This paper aims to estimate the parameters in a wide range of long memory series by applying approximate Maximum Likelihood Estimation (MLE) and Bayesian Monte Carlo

Evidence of Low-dimensional Determinism in Short Time Series of Solute Transport

Investigating the vadose zone, the physics behind the temporal and spatial instabilities of flow (in unsaturated media) is still of question. Although chaotic approaches have been widely employed for identifying different surface hydrology processes, such as rainfall, runoff, lake volume, etc., they were not applied for subsurface systems as much. On this ground, the present study attempts to inve

Global Engagement and the Occupational Structure of Firms

Engagement in foreign markets can have an impact on firm organization and on the type of occupations that a firm needs. We examine the effect of globalization on the occupational mix using detailed Swedish data that cover all firms and a representative sample of the labor force for 1997-2005. We find a robust relationship between a firm’s degree of international integration and its occupational mi

ATLAS computing: Technical Design Report

The ATLAS Computing Model embraces the Grid paradigm and a high degree of decentralization and sharing of computing resources. The required level of computing resources means that off-site facilities will be vital to the operation of ATLAS in a way that was not the case for previous CERN-based experiments. The primary event processing occurs at CERN in a Tier-0 facility. The RAW data is archived