This article investigates international stock market integration in largest (based on nominal GDP and purchasing power parity GDP) four developed namely USA, EMU, Japan and UK and two Asian emerging namely China and India international stock markets over the period June 1994 to June 2009. To model stock market integration we estimate a dynamic version of international capital asset pricing mode...

This paper addresses the problem of audio-visual information fusion to provide highly robust speech recognition. We investigate methods that make different assumptions about asynchrony and conditional dependence across streams and propose a technique based on composite HMMs that can account for stream asynchrony and different levels of information integration. We show how these models can be tr...

We define the Boltzmann-Gibbs entropy of random finite set on a general space X as the integration of logarithm of density function over the space of finite sets of X , where the measure for this integration is the dominating measure over this space. We show that with a unit adjustment term, the same value for entropy can be obtained using the calculus of set integrals which applies integration...

Named Entity Recognition (NER) task has become essential to improve the performance of many NLP tasks. Its aim is to endeavor a solution to boost accurately the identification of extracted named entities. This paper presents a novel solution for Arabic Named Entity Recognition (ANER) problem. The solution is an integration approach between two machine learning techniques, namely bootstrapping s...

Neff & Svensson [1] recently reviewed the literature relating to the theoretical modelling of alternative mating tactics. Their review presents insightful future perspectives on how genomics could unveil the molecular genetics and proximate mechanisms of tactic expression, and we fully agree with their statements that a better understanding of the field can be achieved through the integration b...

the notion of a $d$-poset was introduced in a connection withquantum mechanical models. in this paper, we introduce theconditional expectation of  random variables on thek^{o}pka's $d$-poset and prove the basic properties ofconditional expectation on this  structure.

in this paper, we determine the structure of the space of multipliers of the range of a composition operator cφ that induces by the conditional expectation between two lp() spaces.

modeling and forecasting the volatility of tehran exchange dividend price index (tedpix) the present research, analyses the forecasting performance of a variety of conditional and non-conditional models of tedpix volatility at the daily frequencies performance criterion namely the root mean square error (rmse). under rmse, results show ma250 and cgarch models had better performance between non ...

We propose a simple to implement panel data method to evaluate the impacts of social policy. The basic idea is to exploit the dependence among cross-sectional units to construct the counterfactuals. The cross-sectional correlations are attributed to the presence of some (unobserved) common factors. However, instead of trying to estimate the unobserved factors, we propose to use observed data. W...

Techniques for automatically performing ontology mapping are vital for many real-world applications. Unfortunately, the problem is difficult because many types of evidence must be integrated to make good alignment decisions, and these decisions are co-dependent. In this paper, we propose a conditional random field (CRF) for ontology mapping which combines probabilistic machine learning and depe...