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Theory of Markov Processes
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An investigation of the logical foundations of the theory behind Markov random processes, this text explores subprocesses, transition functions, and conditions for boundedness and continuity. Rather than focusing on probability measures individually, the work explores connections between functions. An elementary grasp of the theory of Markov processes is assumed.
Starting with a brief survey of relevant concepts and theorems from measure theory, the text investigates operations that permit a...
Starting with a brief survey of relevant concepts and theorems from measure theory, the text investigates operations that permit a...