This thesis contributes to the theory of modeling high-dimensional phenomena, with an emphasis on extreme events. First, it provides a one-to-one correspondence of sequences of exchangeable random variables whose multivariate margins are minimum-infinitely divisible and the class of non-negative and non-decreasing cadlag infinitely divisible processes. Second, an exact simulation algorithm for continuous maximum-infinitely divisible processes is developed. Third, a statistical model comparison framework with a focus on non-smooth criterion functions is proposed.
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This thesis contributes to the theory of modeling high-dimensional phenomena, with an emphasis on extreme events. First, it provides a one-to-one correspondence of sequences of exchangeable random variables whose multivariate margins are minimum-infinitely divisible and the class of non-negative and non-decreasing cadlag infinitely divisible processes. Second, an exact simulation algorithm for continuous maximum-infinitely divisible processes is developed. Third, a statistical model comparison f...
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