Markov chain
noun
: a usually discrete stochastic process (such as a random walk) in which the probabilities of occurrence of various future states depend only on the present state of the system or on the immediately preceding state and not on the path by which the present state was achieved
called also Markoff chain
Examples of Markov chain in a Sentence
Recent Examples on the Web
Similar to the way that calculators for high school algebra work, Markov chain Monte Carlo takes in a mathematical equation from the user and figures out the values of each variable that maximize the predictive accuracy of the model.
—
G. Elliott Morris, ABC News, 23 Oct. 2024
That model uses Markov chain Monte Carlo to simulate tens of thousands of different ways the election could go, each time varying the hundreds of parameters in our model.
—G. Elliott Morris, ABC News, 11 June 2024
Review farms used to use Markov chain generators—an algorithm that can create rudimentary sentences by using common phrases and probability to predict sentence structures.
—Simon Hill, WIRED, 2 Nov. 2022
There are also quantum walks equivalent to the Markov chain and Markov walks.
—Bhagvan Kommadi, Forbes, 3 Aug. 2022
The game ostensibly hinges on chance due to its reliance on dice, but in actuality, Chutes and Ladders is a stochastic system called an absorbing Markov chain, meaning just a portion of the system contains randomness.
—Leila Sloman, Popular Mechanics, 28 Feb. 2022
The results were mixed: Their model predicted the movement of cabs better than a usual Markov chain, but neither model was very reliable.
—Quanta Magazine, 19 Aug. 2021
Nowadays, the Markov chain is a fundamental tool for exploring spaces of conceptual entities much more general than poems.
—Jordan Ellenberg, Scientific American, 11 June 2021
Application of Approximate Bayesian Computation Markov chain Monte Carlo based to these sequence data using a simple forward simulator revealed broad posterior distributions of the selective parameters for all four genes, providing no support for positive selection.
—Razib Khan, Discover Magazine, 9 Mar. 2012
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G. Elliott Morris, ABC News, 23 Oct. 2024
That model uses Markov chain Monte Carlo to simulate tens of thousands of different ways the election could go, each time varying the hundreds of parameters in our model.
—G. Elliott Morris, ABC News, 11 June 2024
Review farms used to use Markov chain generators—an algorithm that can create rudimentary sentences by using common phrases and probability to predict sentence structures.
—Simon Hill, WIRED, 2 Nov. 2022
There are also quantum walks equivalent to the Markov chain and Markov walks.
—Bhagvan Kommadi, Forbes, 3 Aug. 2022
The game ostensibly hinges on chance due to its reliance on dice, but in actuality, Chutes and Ladders is a stochastic system called an absorbing Markov chain, meaning just a portion of the system contains randomness.
—Leila Sloman, Popular Mechanics, 28 Feb. 2022
The results were mixed: Their model predicted the movement of cabs better than a usual Markov chain, but neither model was very reliable.
—Quanta Magazine, 19 Aug. 2021
Nowadays, the Markov chain is a fundamental tool for exploring spaces of conceptual entities much more general than poems.
—Jordan Ellenberg, Scientific American, 11 June 2021
Application of Approximate Bayesian Computation Markov chain Monte Carlo based to these sequence data using a simple forward simulator revealed broad posterior distributions of the selective parameters for all four genes, providing no support for positive selection.
—Razib Khan, Discover Magazine, 9 Mar. 2012
Dictionary Entries Near Markov chain
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“Markov chain.” Merriam-Webster.com Dictionary, Merriam-Webster, https://www.merriam-webster.com/dictionary/Markov%20chain. Accessed 16 Nov. 2024.
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