Phenomenological Structure for the Large Deviation Principle in Time-Series Statistics

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Phenomenological Structure for the Large Deviation Principle in Time-Series Statistics

Takahiro Nemoto - Personal Name;

This thesis describes a method to control rare events in non-equilibrium systems by applying physical forces to those systems but without relying on numerical simulation techniques, such as copying rare events. In order to study this method, the book draws on the mathematical structure of equilibrium statistical mechanics, which connects large deviation functions with experimentally measureable thermodynamic functions. Referring to this specific structure as the “phenomenological structure for the large deviation principle”, the author subsequently extends it to time-series statistics that can be used to describe non-equilibrium physics.

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Series Title: -
Call Number: 519
Publisher: Singapore : Springer Singapore., 2016
Collation: Statistik
Language: English
ISBN/ISSN: 978-981-287-811-3
Classification: NONE
Content Type: text
Media Type: computer
Carrier Type: online resource
Edition: 1
Subject(s): Statistical
Dynamical Systems
Statistical physics
Specific Detail Info: -
Statement of Responsibility: Takahiro Nemoto

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Cataloger: Suwardi
Source: https://link.springer.com/book/10.1007/978-981-287-811-3
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Phenomenological Structure for the Large Deviation Principle in Time-Series Statistics

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