TMBocelot: an omnibus statistical control model optimizing the TMB thresholds with systematic measurement errors by Xin Lai, Shaoliang Wang, Xuanping Zhang, Xiaoyan Zhu, Yuqian Liu, Zhili Chang, Zhili Chang, Xiaonan Wang, Xiaonan Wang, Yang Shao, Yang Shao, Jiayin Wang, Yixuan Wang

“…TMBocelot utilizes a Bayesian approach based on the stationarity principle of Markov chains to implement an enhanced error control mechanism, utilizing moderately informative priors. …”
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Statistical flaws of the fitness-fatigue sports performance prediction model by Alexandre Marchal, Othmène Benazieb, Yisakor Weldegebriel, Thibaut Méline, Frank Imbach

“…On the one hand, the model was ill-conditioned, and we illustrated the poor identifiability of fitness and fatigue parameters using Markov chains in the Bayesian framework. On the other hand, the model exhibited an overfitting pattern, as adding the fatigue-related parameters did not significantly improve the model’s predictive ability (p-value > 0.40). …”
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Application and Analysis of Multicast Blocking Modelling in Fat-Tree Data Center Networks by Guozhi Li, Songtao Guo, Guiyan Liu, Yuanyuan Yang

“…Then the blocking probability of downlink in the next time-slot is calculated in multicast subnetwork by using Markov chains theory. With the obtained probability, we select the optimal downlink based on the available core switch. …”
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The quality of service assessment of eMBB and mMTC traffic in a clustered 5G ecosystem of a smart factory by Viacheslav Kovtun, Oksana Kovtun, Krzysztof Grochla, Oleh Yasniy

“…It is shown that using these scenarios, the stationary distribution of probabilities of states of the corresponding two-dimensional Markov chains has a multiplicative form. An information technology has been developed to calculate QoS indicators for different types of requests using these channel allocation scenarios. …”
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Network representations of drum sequences for classification and generation by Daniel Gómez-Marín, Daniel Gómez-Marín, Sergi Jordà, Perfecto Herrera

“…Second, we present a generative model based on Markov chains operating on the network structure, which is able to produce new drum patterns that retain the essential features of the training data. …”
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Spatiotemporal evolution and driving factors of the synergistic effects of pollution control and carbon reduction in China by Qinggang Meng, Xiaolan Chen, Hui Wang, Wanfang Shen, Peixin Duan, Xinyue Liu

“…The distribution patterns, transition probabilities, and driving mechanisms of the CCD of PCCR are explored using kernel density estimation, Markov chains, and geographically and temporally weighted regression (GTWR). …”
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Polymorphic variants of the genes for enzymes of the antioxidant system, apoptosis and inflammation as potential predictors of myocardial infarction by T. R. Nasibullin, V. V. Erdman, Y. R. Timasheva, I. A. Tuktarova, A. A. Petinseva, G. F. Korytina

“…Using the Monte Carlo method and Markov chains (APSampler), combinations of alleles/ genotypes of the studied polymorphic loci associated with a high risk of MI were obtained, which, in addition to those identified during single-locus analysis, contained polymorphic variants of the genes CASP8, TP53, CAT, PON2, CRP, IL6, GSTP1. …”
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