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A Focused Bayesian Information Criterion [PDF]
Advances in Statistics, 2014 Myriads of model selection criteria (Bayesian and frequentist) have been proposed in the literature aiming at selecting a single model regardless of its intended use. An honorable exception in the frequentist perspective is the “focused information criterion” (FIC) aiming at selecting a model based on the parameter of interest (focus). This paper takes
Georges Nguefack-Tsague, Ingo Bulla
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Heliyon, 2023 Multivariate Adaptive Regression Splines (MARS) is a useful non-parametric regression analysis method that can be used for model selection in high-dimensional data. Since MARS can identify and model complex, non-linear relationships between the dependent
Meryem Bekar Adiguzel, Mehmet Ali Cengiz
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Yantu gongcheng xuebao, 2023 In order to establish an optimal model for estimating the uniaxial compressive strength (UCS) of rocks as well as its reasonable estimation, a fully Bayesian Gaussian process regression method (fB-GPR) is proposed by combining the Gaussian process ...
SONG Chao , ZHAO Tengyuan , XU Ling
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Information criteria for astrophysical model selection [PDF]
, 2007 Model selection is the problem of distinguishing competing models, perhaps featuring different numbers of parameters. The statistics literature contains two distinct sets of tools, those based on information theory such as the Akaike Information ...
Liddle, Andrew R
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Bayesian model evidence as a practical alternative to deviance information criterion [PDF]
Royal Society Open Science, 2018 While model evidence is considered by Bayesian statisticians as a gold standard for model selection (the ratio in model evidence between two models giving the Bayes factor), its calculation is often viewed as too computationally demanding for many ...
C. M. Pooley, G. Marion
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Spatial mixture modeling for analyzing a rainfall pattern: A case study in Ireland
Open Engineering, 2022 This study investigates the spatial heterogeneity in the maximum monthly rainfall amounts reported by stations in Ireland from January 2018 to December 2020. The heterogeneity is modeled by the Bayesian normal mixture model with different ranks.
Hussein Amjad, Kadhem Safaa K.
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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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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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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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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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