Stochastic Models publishes papers discussing the theory and applications of probability as they arise in the modeling of phenomena in the natural sciences, social sciences and technology. It presents novel contributions to mathematical theory, using structural, analytical, algorithmic or experimental approaches. In an interdisciplinary context, it discusses practical applications of stochastic models to diverse areas such as biology, computer science, telecommunications modeling, inventories and dams, reliability, storage, queueing theory, mathematical finance and operations research.
随机模型发表论文讨论概率理论和应用,因为它们出现在自然科学,社会科学和技术现象的建模。它提出了新的贡献,数学理论,使用结构,分析,算法或实验方法。在跨学科的背景下,它讨论了随机模型在不同领域的实际应用,如生物学、计算机科学、电信建模、库存和水坝、可靠性、存储、排队理论、数学金融和运筹学。
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