Linear response and moderate deviations: hierarchical approach. III
Boris Tsirelson

TL;DR
This paper extends the Moderate Deviations Principle to splittable random fields, providing a hierarchical approach that advances understanding for complex dependent structures beyond sums of independent variables.
Contribution
It establishes the MDP for splittable random fields, a significant step forward for dependent random structures, adapting previous frameworks to new versions and terminology.
Findings
MDP now proven for splittable random fields
Hierarchical approach enhances analysis of dependent structures
Updated references and terminology for clarity
Abstract
The Moderate Deviations Principle (MDP) is well-understood for sums of independent random variables, worse understood for stationary random sequences, and scantily understood for random fields. Here it is established for splittable random fields. Version 2. Adapted to new Version 3 of [2] arXiv:1706.00991. Terminology: "CMS random fields". Numbers of items in [2] updated. References: "response", not "responce". Otherwise unchanged.
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Taxonomy
TopicsProbability and Risk Models
