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Titlebook: Counting Statistics for Dependent Random Events; With a Focus on Fina Enrico Bernardi,Silvia Romagnoli Book 2021 The Editor(s) (if applicab

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Das Ende der Kunst Neuplatonismusence structure and then approaching the problem in very high dimensional cases. The hierarchical structure leads to a set of distorted distributions, selected by a random matrix representing the arrival policy of the random event, while for the tractability of high dimensional problems, one needs to
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https://doi.org/10.1007/978-3-030-64250-1counting statistics; counting random variables; copula function; clustering; combinatoric calculus; big d
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978-3-030-64252-5The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerl
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rld data applications to demonstrate the new techniques.Redu.This book on counting statistics presents a novel copula-based approach to counting dependent random events. It combines clustering, combinatorics-based algorithms and dependence structure in order to tackle and simplify complex problems,
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Das Ende der Kunst Neuplatonismusselected by a random matrix representing the arrival policy of the random event, while for the tractability of high dimensional problems, one needs to work under approximation assumptions, resulting into a limiting copula-based counting approach.
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Book 2021sed algorithms and dependence structure in order to tackle and simplify complex problems, without disregarding the hierarchy of or interconnections between the relevant variables. These problems typically arise in real-world applications and computations involving big data in finance, insurance and
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