An alternative developed to study associations among multivariate survival times is the use of models based on copula functions. In this work, we use the survival model derived from the PVF copula, based on the Power Variance ...

Copulas are cumulative distribution functions defined on the unit square whose margins are uniform. In the context of the present work, we have provided three new families of semilinear copulas based on the copulas AMH, ...

Given a strictly increasing continuous function φ from [0, 1] to [0, 1] and its pseudo-inverse φ[−1], conditions that φ must satisfy for C φ (x1, . . . ,xn)=φ[−1](C(φ(x1), . . . ,φ(xn))) to be a copula for any copula C are ...

As cópulas, por definição de Nelsen (2006), são funções de distribuição multivariadas cujas margens unidimensionais são uniformes no intervalo (0, 1). Isto é, as cópulas ligam duas ou mais distribuições marginais univariadas, ...

In this paper, we introduce a Bayesian analysis for a bivariate generalized exponential distribution in the presence of censored data and covariates derived from Copula functions. The generalized exponential distribution ...

Most machine learning regression models only yield single point estimations for the label of a new observation. However, when dealing with multi-modal or asymmetric distributions, a single point estimate is not enough to ...