2 citations · 4 across the 3 of their papers we have counts for
4 papers
Kendall's tau estimator for bivariate zero-inflated count data
Elisa Perrone, Edwin R. van den Heuvel, Zhuozhao Zhan
In this paper, we extend the work of Pimentel et al. (2015) and propose an adjusted estimator of Kendall's for bivariate zero-inflated count data. We provide achievable lower a…
Geometry of Discrete Copulas
Elisa Perrone, Liam Solus, Caroline Uhler
Multivariate distributions are fundamental to modeling. Discrete copulas can be used to construct diverse multivariate joint distributions over random variables from estimated univ…
Optimal discrimination design for copula models
Elisa Perrone, Andreas Rappold, Werner G. Müller
Optimum experimental design theory has recently been extended for parameter estimation in copula models. However, the choice of the correct dependence structure still requires wide…
Optimal Designs for Copula Models
Elisa Perrone, Werner G. Müller
Copula modelling has in the past decade become a standard tool in many areas of applied statistics. However, a largely neglected aspect concerns the design of related experiments.…