Results 21 to 30 of about 108,936 (256)
Approach to Software Defect Features Selection Using Extended Bayesian Information Criterion
Jisuanji kexue yu tansuo, 2020 Using a large number of metrics to establish a software defect prediction model may affect the performance of the prediction model because of unrelated metrics.
TU Jiping, QIAN Ye, WANG Wei, FAN Daoyuan, ZHANG Hanyu
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BMC Bioinformatics, 2019 Background The epidermal growth factor receptor (EGFR) is a major regulator of proliferation in tumor cells. Elevated expression levels of EGFR are associated with prognosis and clinical outcomes of patients in a variety of tumor types.
Claus Weinholdt +7 more
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Entropy, 2021 Model selection criteria are widely used to identify the model that best represents the data among a set of potential candidates. Amidst the different model selection criteria, the Bayesian information criterion (BIC) and the Akaike information criterion
Luca Spolladore +3 more
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Bayesian case-deletion model complexity and information criterion [PDF]
Statistics and Its Interface, 2014 We establish a connection between Bayesian case influence measures for assessing the influence of individual observations and Bayesian predictive methods for evaluating the predictive performance of a model and comparing different models fitted to the same dataset.
Hongtu, Zhu +2 more
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Correction to: A cross-validation-based approach for delimiting reliable home range estimates
Movement Ecology, 2017 The results presented throughout were based on an alternative Information Criterion (IC) equation that did not appear in the original article. The alternate formulation (akin to the Bayesian Information Criterion, rather than Akaike’s Information ...
Eric R. Dougherty +3 more
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The Indian Journal of Agricultural Sciences, 2020 The objective of present investigation was to study the trends in harvested area, production and productivity, and growth rates of natural rubber (Hevea brasiliensis) in Tamil Nadu from April 1991 to March 2016 by employing parametric models. The annual
SHYJU MATHEW, RAMASAMY MURUGESAN
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Clustered Fedstack: Intermediate Global Models with Bayesian Information Criterion
Pattern Recognition Letters, 2023 This work has been submitted to the ELSEVIER for possible ...
Thanveer Shaik +6 more
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Forecasting of Carbon Emissions in India Using Bayesian ARIMA and BSTS Approaches: Evidence from Environmental Sustainability [PDF]
Nature Environment and Pollution TechnologyThis study uses a completely Bayesian method to analyze and forecast per-capita CO2 emissions in India by comparing the performance of the Bayesian Autoregressive Integrated Moving Average (ARIMA) and Bayesian Structural Time Series (BSTS) models.
Palanisamy Manigandan, Duraisamy Pachiyappan, Jeena Radhamma and Nadia Sha
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Corrected Bayesian Information Criterion for Stochastic Block Models [PDF]
Journal of the American Statistical Association, 2019 42 pages, major revision. Change the title to "Corrected Bayesian information criterion for stochastic block models"
Jianwei Hu +3 more
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Economies, 2020 Only unstructured single-path model selection techniques, i.e., Information Criteria, are used by Bounds test of cointegration for model selection.
Waqar Badshah, Mehmet Bulut
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