• Block-Wise Pseudo-Marginal Metropolis-Hastings 

      Tran, M.-N.; Kohn, R.; Quiroz, M.; Villani, M.
      Published 2016-03-30
      The pseudo-marginal Metropolis-Hastings approach is increasingly used for Bayesian inference in statistical models where the likelihood is analytically intractable but can be estimated unbiasedly, such as random effects ...
      Open Access
      Working Paper
    • A New Measure of Vector Dependence, with an Application to Financial Contagion 

      Medovikov, Ivan; Prokhorov, Artem
      Published 2016-03-11
      We propose a new nonparametric measure of association between an arbitrary number of random vectors. The measure is based on the empirical copula process for the multivariate marginals, corresponding to the vectors, and ...
      Open Access
      Working Paper
    • Exact ABC using Importance Sampling 

      Tran, Minh-Ngoc; Kohn, Robert
      Published 2015-09-23
      Approximate Bayesian Computation (ABC) is a powerful method for carrying out Bayesian inference when the likelihood is computationally intractable. However, a draw- back of ABC is that it is an approximate method that ...
      Open Access
      Working Paper
    • Generalized Information Matrix Tests for Copulas 

      Prokhorov, Artem; Schepsmeier, Ulf; Zhu, Yajing
      Published 2015-09-11
      We propose a family of goodness-of-fit tests for copulas. The tests use generalizations of the information matrix (IM) equality of White (1982) and so relate to the copula test proposed by Huang and Prokhorov (2014). The ...
      Open Access
      Working Paper
    • Fat tails and copulas: limits of diversification revisited 

      Ibragimov, Rustam; Prokhorov, Artem; Mo, Jingyuan
      Published 2015-09-11
      We consider the problem of portfolio risk diversification in a Value-at-Risk framework with heavy-tailed risks and arbitrary dependence captured by a copula function. We use the power law for modelling the tails and ...
      Open Access
      Working Paper