Results 31 to 40 of about 116,111 (309)
Theoretical Computer Science, 2011 The article introduces constraint Markov chains as a new tool for specification. They are a generalization of interval Markov chains. Interval Markov chains extend Markov chains by labeling transitions with intervals, implying that each transition probability needs to be within the according interval.
Caillaud, Benoit +5 more
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Putting Markov Chains Back into Markov Chain Monte Carlo [PDF]
Journal of Applied Mathematics and Decision Sciences, 2007 Markov chain theory plays an important role in statistical inference both in the formulation of models for data and in the construction of efficient algorithms for inference. The use of Markov chains in modeling data has a long history, however the use of Markov chain theory in developing algorithms for statistical inference has only become popular ...
Barker, Richard J. +1 more
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Bounds of the stationary distribution in M/G/1 retrial queue with two-way communication and n types of outgoing calls [PDF]
Yugoslav Journal of Operations Research, 2019 In this article we analyze the M=G=1 retrial queue with two-way communication and n types of outgoing calls from a stochastic comparison viewpoint. The main idea is that given a complex Markov chain that cannot be analyzed numerically, we propose to ...
Alem Lala Maghnia +2 more
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Detection of Factors Affecting State Transition Based on Non-Homogeneous Markov Chain Model
IEEE Access, 2021 The dependent and independent variables in traditional linear regression models are continuous numerical variables. When the dependent variable or independent variable is a discrete variable, the traditional linear regression model can no longer be used ...
Shen Xiujuan +3 more
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Applied Sciences, 2021 The reconstruction of optical properties for opaque mediums is highly desired for medical, atmosphere and aerosol applications. However, the modeling and reconstruction process is highly related with multiple scattering phenomena, which elevates both the
Hujie Pan +4 more
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Markov Chain Ontology Analysis (MCOA)
BMC Bioinformatics, 2012 Background Biomedical ontologies have become an increasingly critical lens through which researchers analyze the genomic, clinical and bibliographic data that fuels scientific research.
Frost H, McCray Alexa T
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Variance and Covariance of Several Simultaneous Outputs of a Markov Chain [PDF]
Discrete Mathematics & Theoretical Computer Science, 2016 The partial sum of the states of a Markov chain or more generally a Markov source is asymptotically normally distributed under suitable conditions. One of these conditions is that the variance is unbounded.
Sara Kropf
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Hidden hybrid Markov/semi-Markov chains [PDF]
Computational Statistics & Data Analysis, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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BMI‐1 modulation and trafficking during M phase in diffuse intrinsic pontine glioma
FEBS Open Bio, EarlyView.The schematic illustrates BMI‐1 phosphorylation during M phase, which triggers its translocation from the nucleus to the cytoplasm. In cycling cells, BMI‐1 functions within the PRC1 complex to mediate H2A K119 monoubiquitination. Following PTC596‐induced M phase arrest, phosphorylated BMI‐1 dissociates from PRC1 and is exported to the cytoplasm via its
Banlanjo Umaru +6 more
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A New Improved Parsimonious Multivariate Markov Chain Model
Journal of Applied Mathematics, 2013 We present a new improved parsimonious multivariate Markov chain model. Moreover, we find a new convergence condition with a new variability to improve the prediction accuracy and minimize the scale of the convergence condition.
Chao Wang, Ting-Zhu Huang
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