Results 61 to 70 of about 178,829 (130)

Threshold copulas and positive dependence [PDF]

open access: yes, 2008
Starting with a notion of positive dependence View the MathML source and with the family of the lower threshold copulas Ct associated with a bivariate distribution having copula C, we define different notions of positive dependence for C, reflecting the ...
Fabio Spizzichino   +5 more
core   +1 more source

Asymptotic properties of the Bernstein density copula for dependent data [PDF]

open access: yes
Copulas are extensively used for dependence modeling. In many cases the data does not reveal how the dependence can be modeled using a particular parametric copula. Nonparametric copulas do not share this problem since they are entirely data based.
ROMBOUTS, Jeroen V.K.   +2 more
core  

Modeling Time to Blindness of Glaucoma Patients: A Case Study at Jimma University Medical Center. [PDF]

open access: yesJ Res Health Sci, 2022
Gebremariam MG   +5 more
europepmc   +1 more source

Copula bivariate probit models: with an application to medical expenditures [PDF]

open access: yes
The bivariate probit model is frequently used for estimating the effect of an endogenous binary regressor (the "treatment") on a binary health outcome variable.
Rainer Winkelmann
core  

Modeling Dependencies in Finance using Copulae [PDF]

open access: yes
In this paper we provide a review of copula theory with applications to finance. We illustrate the idea on the bivariate framework and discuss the simple, elliptical and Archimedean classes of copulae.
Yarema Okhrin   +2 more
core  

Prediction of Rapid Early Progression and Survival Risk with Pre-Radiation MRI in WHO Grade 4 Glioma Patients. [PDF]

open access: yesCancers (Basel), 2023
Farzana W   +8 more
europepmc   +1 more source

Investigating dynamic dependence using copulae [PDF]

open access: yes, 2001
A general methodology for time series modelling is developed which works down from distributional properties to implied structural models including the standard regression relationship.
Salmon, Mark H.   +2 more
core  

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