In the context of recent interest in extending scalar association measures to local association functions, attention is drawn to the local dependence function, the mixed partial derivative of the log density, proposed by Holland & Wang (1987). We provide an alternative motivation to that provided by Holland & Wang. We also describe a few basic properties of the local dependence function, and indicate how it may be estimated from data
Inequalities, local dependence and orderings of random variables or their distribution functions are...
Diferente das medidas de associação global (coeficiente de correlação linear de Pearson, de Spearman...
The most common measure of dependence between two time series is the cross-correlation function. Thi...
There is often more structure in the way two random variables are associated than a single scalar de...
This paper discusses two graphical methods for the investigation of local association of two continu...
We propose a new correlation measure for functionally correlated variables based on local linear dep...
Different from measures of global dependence, measures of local dependence evaluate the dependence al...
Pearson\u27s correlation coefficient is used to describe dependence between random variables X and Y...
AbstractThe local dependence function is constant for the bivariate normal distribution. Here we ide...
We are looking at copula models and dependence measures. Especially the recently developed local dep...
Pearson’s correlation coefficient is used to describe dependence be-tween random variables X and Y. ...
Quantifying non-linear dependence structures between two random variables is a challenging task. The...
Correlation is a method to measure the relation between two or more variables. In this thesis, a met...
Cox and Wermuth proposed that the partial derivative of the conditional distribution function of a r...
The most common measure of dependence is the correlation coefficient. Its problem is that it can be ...
Inequalities, local dependence and orderings of random variables or their distribution functions are...
Diferente das medidas de associação global (coeficiente de correlação linear de Pearson, de Spearman...
The most common measure of dependence between two time series is the cross-correlation function. Thi...
There is often more structure in the way two random variables are associated than a single scalar de...
This paper discusses two graphical methods for the investigation of local association of two continu...
We propose a new correlation measure for functionally correlated variables based on local linear dep...
Different from measures of global dependence, measures of local dependence evaluate the dependence al...
Pearson\u27s correlation coefficient is used to describe dependence between random variables X and Y...
AbstractThe local dependence function is constant for the bivariate normal distribution. Here we ide...
We are looking at copula models and dependence measures. Especially the recently developed local dep...
Pearson’s correlation coefficient is used to describe dependence be-tween random variables X and Y. ...
Quantifying non-linear dependence structures between two random variables is a challenging task. The...
Correlation is a method to measure the relation between two or more variables. In this thesis, a met...
Cox and Wermuth proposed that the partial derivative of the conditional distribution function of a r...
The most common measure of dependence is the correlation coefficient. Its problem is that it can be ...
Inequalities, local dependence and orderings of random variables or their distribution functions are...
Diferente das medidas de associação global (coeficiente de correlação linear de Pearson, de Spearman...
The most common measure of dependence between two time series is the cross-correlation function. Thi...