Approximate Random Variate Generation from Infinitely Divisible Distributions with Applications to Bayesian Inference

Stochastic processes with independent increments play a central role in Bayesian non-parametric inference. The distributions of the increments of these processes, aside from fixed points of discontinuity, are infinitely divisible and their Laplace and/or Fourier transforms in the Levy representation...

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