This paper points out mistakes in some results given in the paper "Bayesian Copulae Distributions, with Application to Operational Risk Management” by Luciana Dalla Valle, published in 2009 in volume11, number1 of "Methodology and Computing in Applied Probability”. In particular, we explain why the inverse Wishart distribution is not a conjugate prior to the Gaussian copul
This article examines the notion of distortion of copulas, a natural extension of distortion within ...
Field of study: Statistics.Dr. Dongchu Sun, Thesis Supervisor.Includes vita."July 2018."In Bayesian ...
In this research we introduce a new class of multivariate probability models to the marketing litera...
Many applications of risk analysis require us to jointly model multiple uncertain quantities. Bayesi...
This paper studies the effect of marginal distributions on a copula, in the case of mixed discrete-c...
Copula models have become one of the most widely used tools in the applied modelling of multivariate...
Arthur Charpentier (see Arthur's blog) was recently contacted by some researchers willing to test if...
A prudent assessment of dependence is crucial in many stochastic models for insurance risks. Copulas...
Presents an introduction to Bayesian Statistics, presents an emphasis on Bayesian methods (prior and...
The aim of this paper is to introduce a new methodology for operational risk management, based on Ba...
This work presents a study of copulas, with special focus on the Gaussian copula model and its behav...
Over the last decade, there has been significant and rapid development of the theory of copulas. Muc...
The copula theory is a fundamental instrument used in modeling multivariate distributions. It define...
FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOA family of conjugated distributions fo...
The authors review various facts about copulas linking discrete distributions. They show how the pos...
This article examines the notion of distortion of copulas, a natural extension of distortion within ...
Field of study: Statistics.Dr. Dongchu Sun, Thesis Supervisor.Includes vita."July 2018."In Bayesian ...
In this research we introduce a new class of multivariate probability models to the marketing litera...
Many applications of risk analysis require us to jointly model multiple uncertain quantities. Bayesi...
This paper studies the effect of marginal distributions on a copula, in the case of mixed discrete-c...
Copula models have become one of the most widely used tools in the applied modelling of multivariate...
Arthur Charpentier (see Arthur's blog) was recently contacted by some researchers willing to test if...
A prudent assessment of dependence is crucial in many stochastic models for insurance risks. Copulas...
Presents an introduction to Bayesian Statistics, presents an emphasis on Bayesian methods (prior and...
The aim of this paper is to introduce a new methodology for operational risk management, based on Ba...
This work presents a study of copulas, with special focus on the Gaussian copula model and its behav...
Over the last decade, there has been significant and rapid development of the theory of copulas. Muc...
The copula theory is a fundamental instrument used in modeling multivariate distributions. It define...
FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOA family of conjugated distributions fo...
The authors review various facts about copulas linking discrete distributions. They show how the pos...
This article examines the notion of distortion of copulas, a natural extension of distortion within ...
Field of study: Statistics.Dr. Dongchu Sun, Thesis Supervisor.Includes vita."July 2018."In Bayesian ...
In this research we introduce a new class of multivariate probability models to the marketing litera...