Pair-copula constructions

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A copula is a multivariate distribution with standard uniform marginal distributions. While the literature on copulas is substantial, most of the research is still limited to the bivariate case. However, recently hierarchical copula-based structures have been proposed as an alternative to the standard copula methodology. One of the most promising of these structures is the pair-copula construction (PCC). The PCCs were originally proposed by Harry Joe in 1996. In 2002, Bedford and Cooke organised these constructions by means of graphical models denoted regular vines and the PCCs/vines were further explored by Kurowicka and Cooke during the years 2002-2009. After being set in an inferential context by Aas et. al. in 2009, the interest in the PCCs has grown steadily and these constructions are finding successful applications in various fields. At this web page we try to keep updated information on papers, software and conferences related to pair-copula constructions.







PCCs have e.g. been applied in the following areas:

  • Finance
  • Insurance
  • Genetics
  • Health
  • Hydrology
  • Longitudinal data
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