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Probability and Random Processes
Oxford University Press (2001)
Abstract
A Markov chain is a random process with the property that, conditional on its present value, the future is independent of the past. The Chapman- Kolmogorov equations are derived, and used to explore the persistence and transience of states.
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Citations of this work
Compendium of the foundations of classical statistical physics.Jos Uffink - 2006 - In J. Butterfield & J. Earman (eds.), Handbook of the philosophy of physics. Kluwer Academic Publishers.
The Representational Semantic Conception.Mauricio Suárez & Francesca Pero - 2019 - Philosophy of Science 86 (2):344-365.
What determines biological fitness? The problem of the reference environment.Marshall Abrams - 2009 - Synthese 166 (1):21-40.
How Do Natural Selection and Random Drift Interact?Marshall Abrams - 2007 - Philosophy of Science 74 (5):666-679.
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