Results 1 to 10 of about 146,110 (315)
SHS Web of Conferences, 2023 In this paper, Markov chain is used to model the reproduction of the fixed finite population, and use binomial distribution to discuss the probability of gen inheritance between generations population genes and establish transfer matrix ,using ...
Zhai Qian
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Multi-strategy evolutionary games: A Markov chain approach.
PLoS ONE, 2022 Interacting strategies in evolutionary games is studied analytically in a well-mixed population using a Markov chain method. By establishing a correspondence between an evolutionary game and Markov chain dynamics, we show that results obtained from the ...
Mahdi Hajihashemi +1 more
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Affects affect affects: A Markov Chain [PDF]
Frontiers in Psychology, 2023 Pietro Cipresso +3 more
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Cellular Automata and Markov Chain Based Urban Growth Prediction
International Journal of Environment and Geoinformatics, 2021 The urban share of the Indian population jumped from 18% in 1961 to 31.16% in 2011 (Gupta et.al2013). This huge spurt in growth of the population is putting a huge demand on available land resource.
Cellular Automata and Markov Chain Based Urban Growth Prediction
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Markov chains and applications
Selecciones Matemáticas, 2022 This work has three important purposes: first it is the study of Markov Chains, the second is to show that Markov chains have different applications and finally it is to model a process of this behaves. Throughout this work we will describe what a Markov
Mississippi Valenzuela
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Open Markov Type Population Models: From Discrete to Continuous Time
Mathematics, 2021 We address the problem of finding a natural continuous time Markov type process—in open populations—that best captures the information provided by an open Markov chain in discrete time which is usually the sole possible observation from data.
Manuel L. Esquível +2 more
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Analysis and Application of Grey-Markov Chain Model in Tax Forecasting
Journal of Mathematics, 2021 Tax data is a typical time series data, which is subject to the interaction and influence of economic and political factors and has dynamic and highly nonlinear characteristics.
Huidi Zhang, Yimao Chen
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Barekeng, 2023 Markov chain is a stochastic process to describe a phenomenon in the future based on a previous state. In practice, Markov chains are distinguished by time into two, namely discrete-time Markov chain and continuous-time Markov Chain.
Putri Monika +3 more
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Journal of Applied Probability, 2014 The extremes of a univariate Markov chain with regularly varying stationary marginal distribution and asymptotically linear behavior are known to exhibit a multiplicative random walk structure called the tail chain. In this paper we extend this fact to Markov chains with multivariate regularly varying marginal distributions in R
Janssen, A., Segers, J.
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Integration of fast fluid dynamics and Markov chain model for predicting transient particle transport in buildings [PDF]
E3S Web of Conferences, 2019 Fast simulation tools for the prediction of transient particle transport are critical in designing the air distribution indoors to reduce the exposure to indoor particles and associated health risks.
Liu Wei, Chen Chun
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