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Analysis of Polish business demography using Markov chains [PDF]
The article describes the use of the Markov chains methodology for analysis of demographic evolution of Polish enterprises in the years 2003 - 2009. According to the results’ presented in the article, flexibility of Polish companies’ activity in changing
Natalia Nehrebecka
core
Markov chains as a proxy for the predictive memory representations underlying mismatch negativity. [PDF]
Front Hum Neurosci, 2023 Schröger E, Roeber U, Coy N.
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Accepted version for the Journal of Theoretical ...
Grimmett, Geoffrey R, Holmes, Mark
openaire +3 more sources
The Probability Companion for Engineering and Computer Science, 2019 Louis J. Gross
semanticscholar +3 more sources
Improving models for student retention and graduation using Markov chains. [PDF]
PLoS One, 2023 Tedeschi MN +4 more
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Convergence, Rank Reduction and Bounds for the Stationary Analysis of Markov Chains
, 2004 We introduce a rank reduction method for computing stationary distributions of Markov chains for which low-rank iteration matrices can be formed. We first prove that, for an irreducible Markov chain, a necessary and sufficient condition for convergence ...
Peng, Bin
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Stability of Queueing Systems with Impatience, Balking and Non-Persistence of Customers
MathematicsThe operation of many queueing systems is adequately described by the structured multidimensional continuous-time Markov chains. The most well-studied classes of such chains are level-independent Quasi-Birth-and-Death processes, GI/M/1 type and M/G/1 ...
Alexander N. Dudin +3 more
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A new hybrid model of convolutional neural networks and hidden Markov chains for image classification. [PDF]
Neural Comput Appl, 2023 Goumiri S, Benboudjema D, Pieczynski W.
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Markov Chain Monte Carlo Technology [PDF]
In the past fifteen years computational statistics has been enriched by a powerful, somewhat abstract method of generating variates from a target probability distribution that is based on Markov chains whose stationary distribution is the probability ...
Chib, Siddhartha
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Covariate dependent Markov chains constructed with gradient boost modeling can effectively generate long-term predictions of obesity trends. [PDF]
BMC Res Notes, 2023 Huang AA, Huang SY.
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