This paper is concerned with the study of some properties of the distance between statistical individuals based on representations on the dual tangent space of a parametric manifold representation of a statistical model. Explicit expressions for distances are obtained for well-known families of distributions. We have also considered applications of the distance to parameter estimation, testing statistical hypotheses and discriminant analysi
We study the distributions of distances between identical elements of a random sequence (e.g. a seq...
We study different ways of determining the mean distance <rn> between a reference point and it...
The performance of nearest-neighbor feature selection and prediction methods depends on the metric f...
This paper is concerned with the study of some properties of the distance between statistical indivi...
In this paper we study the main properties of a distance introduced by C.M. Cuadras (1974). This dis...
The interpoint distance distribution can be used to analyze data consisting of inter-observation dis...
In this paper we define distance functions for data sets (and distributions) in a RKHS context. To ...
AbstractThis paper shows an embedding of the manifold of multivariate normal densities with informat...
International audienceTaylor's law states that variance of the distribution of distance between two ...
We introduce two new information theoretic measures of distances among probability distributions and...
One natural way to measure model adequacy is by using statistical distances as loss functions. A rel...
Taylor’s law states that the variance of the distribution of distance between two randomly chosen in...
AbstractIn statistical estimation problems measures between probability distributions play significa...
We consider a situation where two sample sets of independent real valued observations are obtained f...
AbstractThis paper describes two different embeddings of the manifolds corresponding to many ellipti...
We study the distributions of distances between identical elements of a random sequence (e.g. a seq...
We study different ways of determining the mean distance <rn> between a reference point and it...
The performance of nearest-neighbor feature selection and prediction methods depends on the metric f...
This paper is concerned with the study of some properties of the distance between statistical indivi...
In this paper we study the main properties of a distance introduced by C.M. Cuadras (1974). This dis...
The interpoint distance distribution can be used to analyze data consisting of inter-observation dis...
In this paper we define distance functions for data sets (and distributions) in a RKHS context. To ...
AbstractThis paper shows an embedding of the manifold of multivariate normal densities with informat...
International audienceTaylor's law states that variance of the distribution of distance between two ...
We introduce two new information theoretic measures of distances among probability distributions and...
One natural way to measure model adequacy is by using statistical distances as loss functions. A rel...
Taylor’s law states that the variance of the distribution of distance between two randomly chosen in...
AbstractIn statistical estimation problems measures between probability distributions play significa...
We consider a situation where two sample sets of independent real valued observations are obtained f...
AbstractThis paper describes two different embeddings of the manifolds corresponding to many ellipti...
We study the distributions of distances between identical elements of a random sequence (e.g. a seq...
We study different ways of determining the mean distance <rn> between a reference point and it...
The performance of nearest-neighbor feature selection and prediction methods depends on the metric f...