In this paper, we discuss a generalized dependence measure which is designed to measure dependence of two symmetric &alpha;-stable random variables with finite mean(1<&alpha;<=2) and contains the covariance function as the special case (when &alpha;=2). Weshortly discuss some basic properties of the function and consider several methods to estimate the function and further investigate the numerical properties of the estimatorusing the simulated data. We show how to apply this function to measure dependence of some stock returns on the composite index LQ45 in Indonesia Stock Exchange.DOI : http://dx.doi.org/10.22342/jims.15.1.39.1-1
Accurately and adequately modeling and analyzing relationships in real random phenomena involving se...
Global sensitivity analysis with variance-based measures suffers from several theoretical and practi...
AbstractThe problem of bivariate (multivariate) dependence has enjoyed the attention of researchers ...
In this paper, we discuss a generalized dependence measure which is designed to measure dependence o...
International audienceWe introduce a new measure of dependence between the components of a symmetric...
International audienceWe introduce a new measure of dependence between the components of a symmetric...
International audienceThe covariation is one of the possible dependence measures for variables where...
Accepté à Communications in Statistics - Theory and methodsInternational audienceIn this paper we st...
International audienceThe covariation is one of the possible dependence measures for variables where...
Accepté à Communications in Statistics - Theory and methodsInternational audienceIn this paper we st...
Distance covariance is a quantity to measure the dependence of two random vectors. We show that the ...
Abstract: Recently Fan and colleagues have proposed two measures of the strength of dependency betwe...
A novel approach to estimate variance based sensitivity indices for the case of correlated variables...
This chapter introduces a flexible copula-based multivariate distributional specification that allow...
This chapter introduces a flexible copula-based multivariate distributional specification that allow...
Accurately and adequately modeling and analyzing relationships in real random phenomena involving se...
Global sensitivity analysis with variance-based measures suffers from several theoretical and practi...
AbstractThe problem of bivariate (multivariate) dependence has enjoyed the attention of researchers ...
In this paper, we discuss a generalized dependence measure which is designed to measure dependence o...
International audienceWe introduce a new measure of dependence between the components of a symmetric...
International audienceWe introduce a new measure of dependence between the components of a symmetric...
International audienceThe covariation is one of the possible dependence measures for variables where...
Accepté à Communications in Statistics - Theory and methodsInternational audienceIn this paper we st...
International audienceThe covariation is one of the possible dependence measures for variables where...
Accepté à Communications in Statistics - Theory and methodsInternational audienceIn this paper we st...
Distance covariance is a quantity to measure the dependence of two random vectors. We show that the ...
Abstract: Recently Fan and colleagues have proposed two measures of the strength of dependency betwe...
A novel approach to estimate variance based sensitivity indices for the case of correlated variables...
This chapter introduces a flexible copula-based multivariate distributional specification that allow...
This chapter introduces a flexible copula-based multivariate distributional specification that allow...
Accurately and adequately modeling and analyzing relationships in real random phenomena involving se...
Global sensitivity analysis with variance-based measures suffers from several theoretical and practi...
AbstractThe problem of bivariate (multivariate) dependence has enjoyed the attention of researchers ...