A dynamic Markov chain prediction model for delay-tolerant networks by Il-kyu Jeon, Kang-whan Lee

“…To solve this problem, this study proposes a context-aware Markov chain prediction based on the Markov chain that uses the node’s movement history information without requiring additional information. …”
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Retracted: Algorithm of Classroom Teaching Quality Evaluation Based on Markov Chain by null Complexity

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Generative blockchain-based covert communication model based on Markov chain by Wei SHE, Xinpeng RONG, Wei LIU, Zhao TIAN

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Forecasting Precipitation Using a Markov Chain Model in the Coastal Region in Bangladesh by Al Mamun Pranto, Usama Ibn Aziz, Lipon Chandra Das, Sanjib Ghosh and Anisul Islam

Subjects: “…markov chain, rainfall forecasting, stationary test statistic, climate, bangladesh…”
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BAYESIAN FINITE ELEMENT MODEL UPDATING BASED ON MARKOV CHAIN POPULATION COMPETITION by YE Ling, JIANG HongKang, ZOU YuQing, CHEN HuaPeng, WANG LiCheng

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Modeling land use changes using Markov chain model and LCM model by mohammad ebrahim afifi

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Real-time predication and navigation on traffic congestion model with equilibrium Markov chain by Yan Zheng, Yanran Li, Chung-Ming Own, Zhaopeng Meng, Mengya Gao

“…Accordingly, by dividing the real-time Global Positioning System data of taxis in Shenzhen city into 50 regions, the equilibrium Markov chain model was designed for dispatching vehicles and applied to ease the city congestion. …”
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Availability evaluation method for extended epidemic model and Markov chain based IoT by Xiaotong YE, Wenfei SUN, Shigen SHEN

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Optimal Payments to Connected Depositors in Turbulent Times: A Markov Chain Approach by Dávid Csercsik, Hubert János Kiss

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Analysis of different anti-interference system models based on discrete time Markov chain by Quan REN, Lei HE, Jiangxing WU

“…Block chain,dissimilar redundancy and mimic defense technology have developed rapidly in different security fields of cyberspace.However,there is a lack of effective models to describe and analyze these three kinds of innovative technologies currently.The DTMC (discrete time Markov chain) was used to model and analyze the anti-interference of the three kinds of systems.The results show that mimic defense system which adopts dynamic heterogeneous redundancy architecture and negative feedback control mechanism can ensure the high availability of the system.The block chain system uses high redundancy consensus mechanism to have a higher anti-interference performance than mimic defense system and dissimilar redundancy system in a certain time,but its performance will decrease quickly after that.With the increase of redundancy,the anti-interference performance of the dissimilar redundancy system will tend to the high redundancy block chain rapidly.Compared with block chain,the anti-interference performance falling of dissimilar redundancy system will be relatively slower.…”
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Research on network attack analysis method based on attack graph of absorbing Markov chain by Haiyan KANG, Molan LONG

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Nonhomogeneous Markov chains for degeneration behaviour of RC members’ durability and its Bayesian updating by Ruiqi Guo, Dengguo Li, Guoxin Chen, Yu Jin, Hui Li, Yuanpeng Zhang

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Analysis of the Spell of Rainy Days in Lake Urmia Basin using Markov Chain Model by Khadijeh Javan

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Estimation of Urban Link Travel Time Distribution Using Markov Chains and Bayesian Approaches by Wenwen Qin, Meiping Yun

“…Finally, the current link TTD can be reconstructed by a generic Markov Chain Monte Carlo algorithm incorporating high weighted particles. …”
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Stochastic differential equations to model influenza transmission with continuous and discrete-time Markov chains by Kazi Mehedi Mohammad, Md. Kamrujjaman

“…Since the basic reproduction number R0 is not sufficient to predict the outbreak, we apply the discrete-time Markov chain (DTMC), continuous-time Markov chain (CTMC), and Itô stochastic differential equations (SDEs) to calculate the probability of the disease outbreak. …”
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Characterization of the Collagen Extraction Manufacturing Process Using Markov Chains and Artificial Neural Networks by Rosa Trasvina-Osorio, Sergio Alonso-Romero, Juan de Anda-Suarez, Valentin Calzada-Ledesma, Javier Yanez-Mendiola, Luis Fernando Villanueva-Jimenez, Erick Rojas-Mancera

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A Fast and Efficient Markov Chain Monte Carlo Method for Market Microstructure Model by Sun Yapeng, Peng Hui, Xie Wenbiao

“…A fast and efficient Markov Chain Monte Carlo (MCMC) approach based on an efficient simulation smoother algorithm and an acceptance-rejection Metropolis–Hastings algorithm is designed to estimate the non-linear MM model. …”
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Study on Prediction of Domestic Water Consumption Based on Residual Grey Markov Chain Model by LIU Xian, YUAN Dan, ZHANG Xiaoli, MU Duo

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Non-homogeneous Markov chains with a finite state space and a Doeblin type theorem by Rita Chattopadhyay

“…Doeblin [1] considered some classes of finite state nonhomogeneous Markov chains and studied their asymptotic behavior. …”
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A uniform estimate for the rate of convergence in the multidimensional central limit theorem for homogeneous Markov chains by M. Gharib

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