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Appendix G to Applied Probability: Properties of conditional independence, given a random vector (m24003)
Summary: This property lies at the root of the theory of Markov processes, which are characterized by the condition that past and future are conditionally independent, given the present. The notions of past, present, and future are somewhat elastic. One may have an extended present, a finite or infinite past or ... Markov processes.
Subject: Mathematics and Statistics
Language: English
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Revised: 2009-09-18
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