Theory and Applications of Stochastic Processes

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Focusing on the intersection of probability theory and applied mathematics, this book explores how to express various problems using differential, difference, integral, and partial differential equations. It provides insights into solving these equations through approximation methods, making complex concepts accessible for practical application. The content is designed for those looking to deepen their understanding of mathematical techniques in probabilistic contexts.