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Air Quality Estimation Using Nonhomogeneous Markov Chains: A Case Study Comparing Two Rules Applied to Mexico City Data
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作者 Eliane R. Rodrigues Juan A. Cruz-Juárez +1 位作者 Hortensia J. Reyes-Cervantes Guadalupe Tzintzun 《Journal of Environmental Protection》 2023年第7期561-582,共22页
A nonhomogeneous Markov chain is applied to the study of the air quality classification in Mexico City when the so-called criterion pollutants are used. We consider the indices associated with air quality using two re... A nonhomogeneous Markov chain is applied to the study of the air quality classification in Mexico City when the so-called criterion pollutants are used. We consider the indices associated with air quality using two regulations where different ways of classification are taken into account. Parameters of the model are the initial and transition probabilities of the chain. They are estimated under the Bayesian point of view through samples generated directly from the corresponding posterior distributions. Using the estimated parameters, the probability of having an air quality index in a given hour of the day is obtained. 展开更多
关键词 Air Quality Index Air Pollution Mexico City nonhomogeneous markov chains Bayesian Inference
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THE CONVERGENCE OF NONHOMOGENEOUS MARKOV CHAINS IN GENERAL STATE SPACES BY THE COUPLING METHOD
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作者 朱志锋 张绍义 田范基 《Acta Mathematica Scientia》 SCIE CSCD 2021年第5期1777-1787,共11页
We investigate the convergence of nonhomogeneous Markov chains in general state space by using the f norm and the coupling method,and thus,a sufficient condition for the convergence of nonhomogeneous Markov chains in ... We investigate the convergence of nonhomogeneous Markov chains in general state space by using the f norm and the coupling method,and thus,a sufficient condition for the convergence of nonhomogeneous Markov chains in general state space is obtained. 展开更多
关键词 f norm COUPLING nonhomogeneous markov chains CONVERGENCE
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SOME LIMIT PROPERTIES AND THE GENERALIZED AEP THEOREM FOR NONHOMOGENEOUS MARKOV CHAINS
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作者 Ping Hu Zhongzhi Wang 《Annals of Applied Mathematics》 2018年第3期269-284,共16页
Let(ξ_n)_(n=0)~∞ be a Markov chain with the state space X = {1, 2, · · ·, b},(g_n(x, y))_(n=1)~∞ be functions defined on X × X, and F_(m_n,b_n)(ω) =1 /b_n sum from k=m_n+1 to m_n+b_n g_k(ξ_(k-... Let(ξ_n)_(n=0)~∞ be a Markov chain with the state space X = {1, 2, · · ·, b},(g_n(x, y))_(n=1)~∞ be functions defined on X × X, and F_(m_n,b_n)(ω) =1 /b_n sum from k=m_n+1 to m_n+b_n g_k(ξ_(k-1), ξ_k).In this paper the limit properties of F_(m_n,b_n)(ω) and the generalized relative entropy density f_(m_n,b_n)(ω) =-(1/b_n) log p(ξ_(m_n,m_n+b_n)) are discussed, and some theorems on a.s. convergence for(ξ_n)_n=0~∞ and the generalized Shannon-McMillan(AEP) theorem on finite nonhomogeneous Markov chains are obtained. 展开更多
关键词 AEP nonhomogeneous markov chains limit theorem generalized relative entropy density
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Rate Function of Large Deviation for a Class of Nonhomogeneous Markov Chains on Supercritical Percolation Network
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作者 Zhong Hao XU Dong HAN 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2011年第9期1813-1830,共18页
We model an epidemic with a class of nonhomogeneous Markov chains on the supercritical percolation network on Zd. The large deviations law for the Markov chain is given. Explicit expression of the rate function for la... We model an epidemic with a class of nonhomogeneous Markov chains on the supercritical percolation network on Zd. The large deviations law for the Markov chain is given. Explicit expression of the rate function for large deviation is obtained. 展开更多
关键词 nonhomogeneous markov chain large deviation rate function percolation network
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