Journal of Statistical Software · 2014 · 76 citations · 29 references
BusinessBiostatisticsComputer ScienceBayesian Data AnalysisStatistical ModelingStochastic ModelingDensity EstimationHierarchical ModelingStatistical GraphicsArchimedean CopulasCopula EstimationCopula ModelsCumulative Distribution FunctionsDensityEfficient EstimationJoint Probability Density FunctionsProbability Density Functions
This paper presents the R package HAC, which provides user friendly methods for dealing with hierarchical Archimedean copulae (HAC). Computationally efficient estimation procedures allow to recover the structure and the parameters of HAC from data. In addition, arbitrary HAC can be constructed to sample random vectors and to compute the values of the corresponding cumulative distribution plus density functions. Accurate graphics of the HAC structure can be produced by the plot method implemented for these objects.
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Multivariate Models and Dependence Concepts.
Trevor J. Ringrose, Harry Joe · Biometrics · 1998 · 3.5K citations
David X. Li · The Journal of Fixed Income · 2000 · 1.3K citations