# Markov chain

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Related to Markov model: Markov process, Hidden Markov model

## Markov chain

(ˈmɑːkɒf)
n
(Statistics) statistics a sequence of events the probability for each of which is dependent only on the event immediately preceding it
[C20: named after Andrei Markov (1856–1922), Russian mathematician]
Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014
ThesaurusAntonymsRelated WordsSynonymsLegend:
 Noun 1 Markov chain - a Markov process for which the parameter is discrete time valuesMarkoff chainMarkoff process, Markov process - a simple stochastic process in which the distribution of future states depends only on the present state and not on how it arrived in the present state
Based on WordNet 3.0, Farlex clipart collection. © 2003-2012 Princeton University, Farlex Inc.
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A Markov model was also developed to model transitions from HSPC to CRPC and CRPC to death separately.
We built the Markov model for the western study region by measuring land cover at reference points from 2006-2015 using USDA CropScape data (U.S.
An n state of Markov model leads to a system of n coupled differential equations.
Sylvie Deuffic-Burban, from the Universit&eacute; Paris Diderot, and colleagues examined the cost-effectiveness of expanded HCV screening in France using a Markov model that simulated chronic hepatitis C (CHC) prevalence, incidence of events, quality-adjusted life-years (QALYs), costs, and incremental cost-effectiveness ratio.
Our work is also different from previous research on the behavior of PU because we use a two-state Markov model to reduce the total cost of false alarm and missed detection instead of increasing system throughputs.
For high-risk CRC patients, results of the analysis found that the Pure-Vu System has the potential to: Reduce CRC incidence by an estimated 36% by improving the quality of the exam; Minimize overall per-patient costs by up to \$3,400 for private payer patients and up to \$1,600 for Medicare patients; and Reduce direct costs of repeated procedures due to inadequate prep by \$804/\$951 for Medicare/private payer patients, respectively.The data presented was generated through the development of a Markov model, which compared the use of the Pure-Vu System versus SC.
Doan Perdana has done the simulation about two ray ground propagation channel that caused by AWGN on IEEE 1609.4 standard on Gauss Markov mobility model and Random Way point mobility model, they proved that the random way mobility model has a better performance than Gauss Markov model in low density of nodes [16].
Statistical language models (SLMs) and the Hidden Markov Model, when coupled with improvements in the performance of new microphones and electronics for capturing audio, see to it that the quality of raw material for recognizing speech and understanding intent is worthy of high confidence.
The Hidden Markov Model (HMM) is the most common and successful approach for isolated voice commands recognition today.
In the paper, we suggested different structures of hybrid systems based on various supervised machine learning algorithms such as Hidden Markov Model (HMM), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Fuzzy Control System (FCS) which achieved sufficient results.

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