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Focusing on stochastic analysis, this book explores its applications in mathematical finance and the statistics of random processes. It aims to present contemporary methods and results in a concise, self-contained manner, making it suitable as a textbook for senior undergraduate and graduate courses. Designed for students, instructors, and specialists, it serves as a comprehensive resource for understanding stochastic analysis and its practical implications in various fields.
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A Course of Stochastic Analysis, Alexander Melnikov
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- 2023
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