PREDICTING THE LEARNING PATH TO LEARNER’S OPTIMUM COMPREHENSION by Ifeanyi Isaiah Achi, Chukwuemeka Odi Agwu, Christopher Chizoba Nnamene, Sylvester C. Aniobi, Ifebude Barnabas C., Kelechi Christian Oketa, Godson Kenechukwu Ezeh, John Otozi Ugah

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Characterization of Sleep Structure and Autonomic Dysfunction in REM Sleep Behavior Disorder by Nicla Mandas, Maximiliano Mollura, Giulia Baldazzi, Parisa Sattar, Maria Mura, Elisa Casaglia, Michela Figorilli, Laura Giorgetti, Pietro Mattioli, Francesco Calizzano, Francesco Fama, Dario Arnaldi, Monica Puligheddu, Danilo Pani, Riccardo Barbieri

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Bayesian Analysis of Complex Mutations in HBV, HCV, and HIV Studies by Bing Liu, Shishi Feng, Xuan Guo, Jing Zhang

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Cost and health effects of case management compared with outpatient clinic follow‐up in a Dutch heart failure cohort by Henk vanVoorst, Alfred Ernest Reiner Arnold

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A novel quantile regression for fractiles based on unit logistic exponential distribution by Hanan Haj Ahmad, Kariema A. Elnagar

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Evaluation of Production Line Modelling in Qualified Cardboard Production with Reliability Analysis by Aykut Güleryüz, Mehmet Yılmaz, Hüseyin Ünözkan

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On a single-server queue with fixed accumulation level, state dependent service, and semi-Markov modulated input flow by Jewgeni H. Dshalalow, Gary Russell

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Application of Discrete-time semi-Markov Model to the Stochastic forecasting of Capital assests as stock. by Nafiu, Lukman Abiodun, Patrick, Weke, Alieu Jallow, Mamadou, Carolyne, Ogutu

“…In this paper, we developed and applied a stochastic model based on Discrete-time Semi Markov chain approach and its generalizations to study the high frequency price dynamics of traded stocks. …”
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Pricing Options with Credit Risk in Markovian Regime-Switching Markets by Jinzhi Li, Shixia Ma

“…This paper investigates the valuation of European option with credit risk in a reduced form model when the stock price is driven by the so-called Markov-modulated jump-diffusion process, in which the arrival rate of rare events and the volatility rate of stock are controlled by a continuous-time Markov chain. We also assume that the interest rate and the default intensity follow the Vasicek models whose parameters are governed by the same Markov chain. …”
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Economic Benefit Analysis of Medical Tourism Industry Based on Markov Model by Wei Zhang, Zhaoxiang Qin, Jun Tang

“…To study the impact of the medical Tourism Industry on regional economic performance, a Markov prediction method was proposed. An improved Markov chain combination forecasting method was established by analyzing the economy of healthcare tourism industry through Markov chain forecasting method and various processing methods for economic results of different years. …”
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Multiperiod Telser’s Safety-First Portfolio Selection with Regime Switching by Chuangwei Lin, Huiling Wu

“…Finally, by mathematical and numerical analysis, we analyze the effects of the disaster level, the risk control level, the transition matrix of the Markov chain, the expected excess return, and the variance of the risky return.…”
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An Incremental-Hybrid-Yager’s Entropy Model for Dynamic Portfolio Selection with Fuzzy Variable by Yin Li, Jian Tao, Yazhi Song

“…In addition, fuzzy variables are utilized to represent prices of assets, while historical data based on Markov chain is exploited to estimate membership functions of fuzzy prices. …”
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Performance Analysis of Buffer-Aided FSO Relaying with an Energy Harvesting Relay by Chadi Abou-Rjeily

“…For such networks, we propose a relaying protocol that delineates the roles of the source and the EH BA relay in each time slot. We develop a Markov chain framework for capturing the dynamics of the data and energy buffers. …”
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A New Weighting Scheme in Weighted Markov Model for Predicting the Probability of Drought Episodes by Zulfiqar Ali, Ijaz Hussain, Muhammad Faisal, Ibrahim M. Almanjahie, Muhammad Ismail, Maqsood Ahmad, Ishfaq Ahmad

“…In this study, we proposed a new weighting scheme to predict the probability of various drought classes under Weighted Markov Chain (WMC) model. We provide a standardized scheme of weights for ordinal sequences of drought classifications by normalizing squared weighted Cohen Kappa. …”
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Prediction of Mine Dust Concentration Based on Grey Markov Model by Zhou Xu, Guo Liwen, Zhang Jiuling, Qin Sijia, Zhu Yi

“…Then, the GM (1, 1) model is optimized by the theory of the Markov chain model. According to the relative error range generated during the prediction, the state interval is divided. …”
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A retrial queueing system with processor sharing and impatient customers by V. I. Klimenok

“…The operation of the system is described in terms of a multi-dimensional Markov chain. It is proved that for any values of the system parameters this chain has a stationary distribution. …”
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Extropy estimation of Weibull distribution under upper records by Nour El Houda Zouaoui

“…This work explores the features of parametric and non-parametric estimators based on upper record values under the a two-parameter Weibull distribution. We apply the Markov Chain Monte Carlo (MCMC) method to provide a Bayesian estimator. …”
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The Basic Reproduction Number for the Markovian SIR-Type Epidemic Models: Comparison and Consistency by Muteb Faraj Alharthi

“…The second is to assess the Martingale method by comparing its performance to that of Markov Chain Monte Carlo (MCMC) methods in terms of estimating this parameter and the infection and removal rate parameters given only removal data. …”
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High Reliable Relay Selection Approach for QoS Provisioning in Wireless Distributed Sensor Networks by Yong Jin

“…To address this problem, we focus on the reliable adaptive relay selection approach and adaptive QoS supported algorithm, based on which we present a Markov chain model, in consideration of different packet states and error control algorithm assignment. …”
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Fixation Probabilities of Evolutionary Graphs Based on the Positions of New Appearing Mutants by Pei-ai Zhang

“…To calculate the fixation probability is usually regarded as a Markov chain process, which is affected by the number of the individuals, the fitness of the mutant, the game strategy, and the structure of the population. …”
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