Markov


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Noun1.Markov - Russian mathematician (1856-1922)
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References in classic literature ?
This, I thought, must be the residence of the Monsieur Markov whom Emelia Ivanovitch had mentioned to me as ready to lend money on interest.
Do you know the tale about him and Count Markov? Count Markov was the only man who knew how to handle him.
And the talkative Dolgorukov, turning now to Boris, now to Prince Andrew, told how Bonaparte wishing to test Markov, our ambassador, purposely dropped a handkerchief in front of him and stood looking at Markov, probably expecting Markov to pick it up for him, and how Markov immediately dropped his own beside it and picked it up without touching Bonaparte's.
Nagorno-Karabakh conflict cannot be considered as frozen, Sergey Markov, Director of the Russian Institute of Political Studies, said at a conference titled "Azerbaijan in Eurospace".
Drawing on his teaching notes for a graduate course on computational methods and uncertainty quantification for inverse problems, Bardsley presents a self-contained introduction to computational inverse problems for a wide range of students, and proceeds step-by-step to Markov chain Monte Carlo sampling methods.
During the past decades, Markov jump systems have been the subject of a great deal of research since they have been used extensively both in theory and in applications.
The presented approach was based on Principal Component Analysis (PCA) algorithm and Markov Logic Networks (MLN) for identification of pressure zones where PCA was used to extract features and Markov Logic for classification purposes.
In probability theory and related fields, a Markov process (named after the Russian mathematician Andrey Markov), is a stochastic process that satisfies the "memorylessness" property, meaning that one can make predictions for the future of the process based solely on its present state, independently from its history.
THE assassination of Bulgarian dissident writer Georgi Markov on a London street had James Bond-type overtones.
Market interest rate, the drift and the volatility of the underlying risky asset switch over time according to the state of an economy, which is modelled by a continuous-time Markov chain.