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Random contractions in global risk governance

Record Type:	Electronic resources : Monograph/item
Title/Author:	Random contractions in global risk governanceby Panagiotis T. Artikis, Constantinos T. Artikis.
Author:	Artikis, Panagiotis.
other author:	Artikis, Constantinos.
Published:	Cham :Springer International Publishing :2022.
Description:	x, 285 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Risk.
Online resource:	https://doi.org/10.1007/978-3-030-95691-2
ISBN:	9783030956912$q(electronic bk.)

Random contractions in global risk governance
Artikis, Panagiotis.

Random contractions in global risk governance[electronic resource] /by Panagiotis T. Artikis, Constantinos T. Artikis. - Cham :Springer International Publishing :2022. - x, 285 p. :ill., digital ;24 cm. - Learning and analytics in intelligent systems,v. 272662-3455 ;. - Learning and analytics in intelligent systems ;v.1..

Chapter 1: Stochastic Concepts in Global Risk Governance Operations -- Chapter 2: Formulation of a Stochastic Model -- Chapter 3: Random Contraction Representation for a Stochastic Model -- Chapter 4: Interpretation of a Stochastic Model in Global Risk Governance.

This book contributes to the area of ongoing global risks and the area of forthcoming global risks, particularly necessary for the implementation of very important interdisciplinary research activities. Global risks are defined in this study as having a global geographical scope, an inter-industrial presence, and exceptionally critical stages of economic and social participation that necessitate a major multi-stakeholder input. In addition, global risks demand an extremely extensive priority in decision-making allowance. The theoretical and practical results of this work are strongly connected to several quite useful factors. The present work mainly concentrates on the contribution of probability theory in the advancement of the practical applicability of global risk governance. More precisely, the work introduces structural stochastic concepts and fundamental stochastic results for the formulation of stochastic models of various global risk governance operations particularly valuable in proactive treatment of several groups of global risks.

ISBN: 9783030956912$q(electronic bk.)

Standard No.: 10.1007/978-3-030-95691-2doiSubjects--Topical Terms:

183511
Risk.

LC Class. No.: HB615 / .A75 2022

Dewey Class. No.: 368

Random contractions in global risk governance
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