 Markov Chains
"Markov Chains" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A stochastic process such that the conditional probability distribution for a state at any future instant, given the present state, is unaffected by any additional knowledge of the past history of the system.
| Descriptor ID |
D008390
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| MeSH Number(s) |
E05.318.740.600.500 E05.318.740.996.500 G17.830.500 N05.715.360.750.625.500 N05.715.360.750.770.500 N06.850.520.830.600.500 N06.850.520.830.996.500
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| Concept/Terms |
Markov Chains- Markov Chains
- Chains, Markov
- Markov Process
- Markov Processes
- Process, Markov
- Processes, Markov
- Markov Chain
- Chain, Markov
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Below are MeSH descriptors whose meaning is more general than "Markov Chains".
Below are MeSH descriptors whose meaning is more specific than "Markov Chains".
This graph shows the total number of publications written about "Markov Chains" by people in this website by year, and whether "Markov Chains" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1998 | 0 | 1 | 1 | | 2000 | 0 | 1 | 1 | | 2001 | 0 | 1 | 1 | | 2003 | 0 | 1 | 1 | | 2004 | 0 | 1 | 1 | | 2005 | 0 | 1 | 1 | | 2006 | 0 | 4 | 4 | | 2007 | 1 | 1 | 2 | | 2008 | 1 | 5 | 6 | | 2009 | 1 | 6 | 7 | | 2010 | 0 | 4 | 4 | | 2011 | 1 | 3 | 4 | | 2012 | 0 | 2 | 2 | | 2013 | 3 | 4 | 7 | | 2014 | 0 | 3 | 3 | | 2015 | 0 | 9 | 9 | | 2016 | 0 | 7 | 7 | | 2017 | 2 | 6 | 8 | | 2018 | 0 | 9 | 9 | | 2019 | 1 | 2 | 3 | | 2020 | 0 | 8 | 8 | | 2021 | 1 | 1 | 2 | | 2022 | 0 | 1 | 1 |
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Below are the most recent publications written about "Markov Chains" by people in Profiles.
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Masaracchia L, Fredes F, Woolrich MW, Vidaurre D. Dissecting unsupervised learning through hidden Markov modeling in electrophysiological data. J Neurophysiol. 2023 08 01; 130(2):364-379.
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Sun D, Heimall JR, Greenhawt MJ, Bunin NJ, Shaker MS, Romberg N. Cost Utility of Lifelong Immunoglobulin Replacement Therapy vs Hematopoietic Stem Cell Transplant to Treat Agammaglobulinemia. JAMA Pediatr. 2022 02 01; 176(2):176-184.
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Salvan P, Lazari A, Vidaurre D, Mandino F, Johansen-Berg H, Grandjean J. Frequency modulation of entorhinal cortex neuronal activity drives distinct frequency-dependent states of brain-wide dynamics. Cell Rep. 2021 11 02; 37(5):109954.
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King CA, Englander H, Korthuis PT, Barocas JA, McConnell KJ, Morris CD, Cook R. Designing and validating a Markov model for hospital-based addiction consult service impact on 12-month drug and non-drug related mortality. PLoS One. 2021; 16(9):e0256793.
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Sharma A, Vidaurre D, Vesper J, Schnitzler A, Florin E. Differential dopaminergic modulation of spontaneous cortico-subthalamic activity in Parkinson's disease. Elife. 2021 06 04; 10.
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Vidaurre D. A new model for simultaneous dimensionality reduction and time-varying functional connectivity estimation. PLoS Comput Biol. 2021 04; 17(4):e1008580.
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Kwon BC, Achenbach P, Dunne JL, Hagopian W, Lundgren M, Ng K, Veijola R, Frohnert BI, Anand V. Modeling Disease Progression Trajectories from Longitudinal Observational Data. AMIA Annu Symp Proc. 2020; 2020:668-676.
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Karapanagiotidis T, Vidaurre D, Quinn AJ, Vatansever D, Poerio GL, Turnbull A, Ho NSP, Leech R, Bernhardt BC, Jefferies E, Margulies DS, Nichols TE, Woolrich MW, Smallwood J. The psychological correlates of distinct neural states occurring during wakeful rest. Sci Rep. 2020 12 03; 10(1):21121.
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Shaddox E, Peterson CB, Stingo FC, Hanania NA, Cruickshank-Quinn C, Kechris K, Bowler R, Vannucci M. Bayesian inference of networks across multiple sample groups and data types. Biostatistics. 2020 07 01; 21(3):561-576.
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Zhang X, Wang C, Weiss DJ, Tao J. Bayesian Inference for IRT Models with Non-Normal Latent Trait Distributions. Multivariate Behav Res. 2021 Sep-Oct; 56(5):703-723.
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