Description
An Introduction to Stochastic Modeling is a foundational text designed for students and practitioners seeking to understand the principles of probabilistic systems and random processes. The book covers essential stochastic modeling techniques, from basic probability theory to advanced applications in real-world scenarios.
Written by Gabriel Lord and Cnall Kelly, this work balances theoretical concepts with practical examples, making complex mathematical ideas accessible to learners. The text explores Markov chains, random walks, Monte Carlo methods, and other critical modeling approaches. Each chapter builds systematically on previous concepts, ensuring readers develop a solid understanding of stochastic processes.
This Academic Press publication is ideal for undergraduate and graduate students in mathematics, engineering, finance, and computer science. It serves as both a textbook for structured learning and a reference guide for professionals implementing stochastic models in their work.
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