Results 111 to 120 of about 41,008 (203)
Modelado de parejas aleatorias usando cópulas Modelling Random Couples Using Copulas
Las cópulas se han convertido en una herramienta útil para el modelado multivariado tanto estocástico como estadístico. En este artículo se revisan propiedades fundamentales de las cópulas que permitan caracterizar la estructura de dependencia de ...
GABRIEL ESCARELA, ANGÉLICA HERNÁNDEZ
doaj
Dependence properties of bivariate copula families
Motivated by recently investigated results on dependence measures and robust risk models, this article provides an overview of dependence properties of many well known bivariate copula families, where the focus is on the Schur order for conditional ...
Ansari Jonathan, Rockel Marcus
doaj +1 more source
Penalized estimation of hierarchical Archimedean copula
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ostap Okhrin, Alexander Ristig
openaire +3 more sources
MODELLING RANDOM COUPLES USING COPULAS MODELADO DE PAREJAS ALEATORIAS USANDO CÓPULAS
Copulas have become a useful tool for the multivariate modelling in both stochastics and statistics. In this article, fundamental properties that allow the characterization of the dependence structure of families of the bivariate distributions defined by
Escarela Gabriel, Hernández Angélica
doaj
An information ratio-based goodness-of-fit test for copula models on censored data. [PDF]
Sun T, Cheng Y, Ding Y.
europepmc +1 more source
Factor Tree Copula Models for Item Response Data. [PDF]
Kadhem SH, Nikoloulopoulos AK.
europepmc +1 more source
Sensitivity Analysis for Survival Prognostic Prediction with Gene Selection: A Copula Method for Dependent Censoring. [PDF]
Yeh CT, Liao GY, Emura T.
europepmc +1 more source
Copula modeling for the estimation of measures of marker classification and predictiveness performance with survival outcomes. [PDF]
Escarela G +3 more
europepmc +1 more source
Nested Archimedean Copulas Meet R: The nacopula Package
The package nacopula provides procedures for constructing nested Archimedean copulas in any dimensions and with any kind of nesting structure, generating vectors of random variates from the constructed objects, computing function values and probabilities
Marius Hofert, Martin Maechler
doaj

