Variable-order Markov Model: Markov Chain, Markov Property, Andrey Markov, Probability Theory, Conditional Probability Distribution, Continuous-time Markov Process, Markov Process, Random Variable - Softcover
Synopsis
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Variable-order Markov models are an important class of models that extend the well known Markov chain models. In contrast to the Markov chain models, where each random variable in a sequence with a Markov property depends on a fixed number of random variables, in VOM models this number of conditioning random variables may vary based on the specific observed realization. This realization sequence is often called the context; therefore the VOM models are also called context trees. The flexibility in the number of conditioning random variables turns out to be of real advantage for many applications, such as statistical analysis, classification and prediction.
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Variable-order Markov models are an important class of models that extend the well known Markov chain models. In contrast to the Markov chain models, where each random variable in a sequence with a Markov property depends on a fixed number of random variables, in VOM models this number of conditioning random variables may vary based on the specific observed realization. This realization sequence is often called the context; therefore the VOM models are also called context trees. The flexibility in the number of conditioning random variables turns out to be of real advantage for many applications, such as statistical analysis, classification and prediction.
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Variable-order Markov Model
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VDM Verlag Dr. Müller E.K. Jan 2010, 2010
ISBN 10: 6130335393
ISBN 13: 9786130335397
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! Variable-order Markov models are an important class of models that extend the well known Markov chain models. In contrast to the Markov chain models, where each random variable in a sequence with a Markov property depends on a fixed number of random variables, in VOM models this number of conditioning random variables may vary based on the specific observed realization. This realization sequence is often called the context; therefore the VOM models are also called context trees. The flexibility in the number of conditioning random variables turns out to be of real advantage for many applications, such as statistical analysis, classification and prediction. Englisch. Seller Inventory # 9786130335397
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Variable-order Markov Model : Markov Chain, Markov Property, Andrey Markov, Probability Theory, Conditional Probability Distribution, Continuous-time Markov Process, Markov Process, Random Variable
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! Variable-order Markov models are an important class of models that extend the well known Markov chain models. In contrast to the Markov chain models, where each random variable in a sequence with a Markov property depends on a fixed number of random variables, in VOM models this number of conditioning random variables may vary based on the specific observed realization. This realization sequence is often called the context; therefore the VOM models are also called context trees. The flexibility in the number of conditioning random variables turns out to be of real advantage for many applications, such as statistical analysis, classification and prediction. Seller Inventory # 9786130335397
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Variable-order Markov Model | Markov Chain, Markov Property, Andrey Markov, Probability Theory, Conditional Probability Distribution, Continuous-time Markov Process, Markov Process, Random Variable
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Taschenbuch. Condition: Neu. Variable-order Markov Model | Markov Chain, Markov Property, Andrey Markov, Probability Theory, Conditional Probability Distribution, Continuous-time Markov Process, Markov Process, Random Variable | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130335397 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 101385136