Results 251 to 260 of about 68,993 (274)
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A hierarchical generalised Bayesian SEM to assess quality of democracy in Europe
METRON, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fontanella, Lara +3 more
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Web Based Application Maintenance Cost Estimation Modeling Using Bayesian SEM
Advanced Materials Research, 2011The objectives of this research were to find out the Structural equation modeling coefficient and other parameter estimation under unknown prior distribution and compare this new model’s coefficient accuracy with the former model on “Web based application maintenance cost estimation multi group modeling” [16].
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Corrigendum to: Bayesian evaluation of informative hypotheses in SEM using Mplus
European Journal of Developmental Psychology, 2014This paper corrects: van de Schoot, R., Verhoeven, M., & Hoijtink, H. (2013). Bayesian evaluation ofinformative hypotheses in SEM using Mplus: A black bear story. EuropeanJournal of Developmental Psychology, 10, 81 –98.
van de Schoot, R. +2 more
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A Partial Correlation-Based Bayesian Network Structure Learning Algorithm under SEM
2011A new algorithm, PCB (Partial Correlation-Based) algorithm, is presented for Bayesian network structure learning. The algorithm combines ideas from local learning with partial correlation techniques in an effective way. It reconstructs the skeleton of a Bayesian network based on partial correlation and then performs greedy hill-climbing search to ...
Jing Yang, Lian Li
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Quasi-Bayesian information criterion of SEM for diffusion processes based on high-frequency data
Statistical Inference for Stochastic ProcesseszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kusano, Shogo, Uchida, Masayuki
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Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium, 2002
The pyramidal image decomposition consists of a succession of filtering and undersampling giving little smoothed images. Details are removed allowing a better classification at each level of the pyramid. The SEM, a stochastic version of the EM algorithm, has been chosen for that.
M. Barbas, J.-M. Boucher
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The pyramidal image decomposition consists of a succession of filtering and undersampling giving little smoothed images. Details are removed allowing a better classification at each level of the pyramid. The SEM, a stochastic version of the EM algorithm, has been chosen for that.
M. Barbas, J.-M. Boucher
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Géotechnique
This paper presents a surrogate-based Bayesian approach for updating the ground parameters within an application of the observational method in sequential excavation method (SEM) construction. A three-dimensional (3D) finite-difference model is used in the forward analysis to simulate SEM construction explicitly considering 3D multi-face excavation ...
Haotian Zheng +2 more
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This paper presents a surrogate-based Bayesian approach for updating the ground parameters within an application of the observational method in sequential excavation method (SEM) construction. A three-dimensional (3D) finite-difference model is used in the forward analysis to simulate SEM construction explicitly considering 3D multi-face excavation ...
Haotian Zheng +2 more
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2006
Discovering gene relationship from gene expression data is a hot topic in the post-genomic era. In recent years, Bayesian network has become a popular method to reconstruct the gene regulatory network due to the statistical nature. However, it is not suitable for analyzing the time-series data and cannot deal with cycles in the gene regulatory network.
Yu Zhang +3 more
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Discovering gene relationship from gene expression data is a hot topic in the post-genomic era. In recent years, Bayesian network has become a popular method to reconstruct the gene regulatory network due to the statistical nature. However, it is not suitable for analyzing the time-series data and cannot deal with cycles in the gene regulatory network.
Yu Zhang +3 more
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Approximate measurement invariance: Bayesian SEM and alignment optimization
2021openaire +1 more source

