Facilitation of Proactive Decision Making by Using Models Incorporating Stochastic Integrals

P. Artikis, Constantinos T. Artikis
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Abstract

. Stochastic integrals are generally recognized as very strong tools for several significant research areas of probability theory. Moreover, stochastic discounting models are suitable for the description of situations in various practical disciplines. The present paper concentrates on the establishment of theoretical properties for two types of stochastic integrals. These properties facilitate the study of the extremely useful family of infinitely divisible distributions. Moreover, the paper makes use of such properties for the formulation of stochastic discounting models. In addition, the paper provides interpretations of these stochastic models in strategic thinking, proactive global decision making, cindynics, systemics and other very significant practical disciplines.
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运用随机积分模型促进前瞻性决策
. 随机积分通常被认为是概率论几个重要研究领域的有力工具。此外,随机折现模型适用于各种实际学科的情况描述。本文主要讨论了两类随机积分的理论性质的建立。这些性质有助于研究非常有用的无穷可分分布族。此外,本文还利用这些性质建立了随机折现模型。此外,本文还提供了这些随机模型在战略思维、前瞻性全局决策、动力学、系统学和其他非常重要的实践学科中的解释。
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