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presents a concise, graduate-level treatment of the subject, emphasizing applications and practical computation. It also establishes the complete mathematical theory in an accessible way. After reviewing basic probability, the text covers Poisson processes, renewal processes, discrete- and continuous-time Markov chains,
Applied Probability and Stochastic Processes
Applied Probability
Stochastic Processes
Stochastic Processes
Probability and Stochastic Processes
Markov Processes
Introduction to Stochastic Models
Introduction to Stochastic Processes
Stochastic Differential Equations and Applications
Basics of Probability and Stochastic Processes
Stochastic Processes and Their Applications
Stochastic Processes
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