Method to choose a archimedean copula optimal
Actualmente las Cópulas son una herramienta muy fuerte para el modelamiento de datos en los que la dependencia entre variables aleatorias es importante y el supuesto de normalidad no se tiene.
Moreno Chavarro, Diana Carolina
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A Copula-VAR-X Approach for Industrial Production Modelling and Forecasting [PDF]
World economies, and especially European ones, have become strongly interconnected in the last decades and a joint modelling is required. We propose here the use of Copulas to build flexible multivariate distributions, since they allow for a rich ...
Dean Fantazzini +4 more
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Reliability Modeling of Wind Turbine Gearbox System Considering Failure Correlation Under Shock-Degradation. [PDF]
Liu X, Wu Z, Yuan Y, Sun W, Gao J.
europepmc +1 more source
Enterprise-level risk assessment of geographically diversified commercial farms: a copula approach [PDF]
As agriculture becomes more industrialized, the role of risk measures such as value-at-risk (VaR) will become more utilized. In this case it was applied to geographical diversification and also modifying the traditional VaR estimation by incorporating a ...
Larsen, Ryan A. +2 more
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A copula-based multivariate flood frequency analysis under climate change effects. [PDF]
Khajehali M +4 more
europepmc +1 more source
Rank-based methods for modeling dependence between loss triangles. [PDF]
Côté MP, Genest C, Abdallah A.
europepmc +1 more source
[Formula: see text]-optimality in copula models. [PDF]
Perrone E, Rappold A, Müller WG.
europepmc +1 more source
Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence. [PDF]
Nikoloulopoulos AK.
europepmc +1 more source
A Review of Multivariate Distributions for Count Data Derived from the Poisson Distribution. [PDF]
Inouye D, Yang E, Allen G, Ravikumar P.
europepmc +1 more source
Value at Risk Computation in a Non-Stationary Setting [PDF]
This chapter recalls the main tools useful to compute Value at Risk associated with a m-dimensional portfolio. Then, the limitations of the use of these tools is explained, as soon as non-stationarities are observed in time series.
Dominique Guegan
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