Geometry of Level Sets of Random Fields, Kac-Rice Formulas, Hermite Expansions and Applications

Geometry of Level Sets of Random Fields, Kac-Rice Formulas, Hermite Expansions and Applications (Probability Theory and Stochastic Modelling, 111)

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Geometry of Level Sets of Random Fields, Kac-Rice Formulas, Hermite Expansions and Applications (Probability Theory and Stochastic Modelling, 111)

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Geometry of Level Sets of Random Fields, Kac-Rice Formulas, Hermite Expansions and Applications

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Geometry of Level Sets of Random Fields, Kac-Rice Formulas, Hermite Expansions and Applications (Probability Theory and Stochastic Modelling, 111)

Overall Rating: 2.3 / 5 (average from multiple review sources, as of 23 Jun 2026)
Based on a total of 48,964 customer reviews from independent review platforms.

Sources & Transparency:
The values are derived from publicly available retailer ratings from platforms such as Feefo, http://Reviews.io , Trustpilot, and others, and are aggregated monthly.

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This title will be released on August 23, 2026. Pre-order now. Express Delivery available with Amazon Prime.
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Geometry of Level Sets of Random Fields, Kac-Rice Formulas, Hermite Expansions and Applications

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This book presents the modern theory of the geometrical characteristics of random fields and explores their interdisciplinary applications.The first five chapters concentrate on the theoretical and mathematical foundations of the expected measure of level sets, including critical points and Morse theory.They provide a streamlined proof of the Kac-Rice formula, adapted to non-Gaussian cases, and address the problem of the finiteness of moments. The text balances pedagogical explanations with recent, powerful mathematical results.Chapter 4 notably offers an accessible presentation of Hermite representation, the diagram formula, and the fourth moment theorem to establish central limit theorems for the measure of the level set, intentionally avoiding overly complex tools like Malliavin calculus.The latter chapters demonstrate the practical application of these tools across domains such as high-dimensional statistics, theoretical physics, optics and the study of critical points, concluding
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