Results 11 to 20 of about 115,501 (297)
Clustered Fedstack: Intermediate Global Models with Bayesian Information Criterion [PDF]
Pattern Recognition Letters, 2023 This work has been submitted to the ELSEVIER for possible ...
Thanveer Shaik +6 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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Knee Point Detection on Bayesian Information Criterion [PDF]
2008 20th IEEE International Conference on Tools with Artificial Intelligence, 2008 The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and it must therefore be determined before clustering. Bayesian information criterion (BIC) often serves as a statistical criterion for model selection, which can also be used in solving model-based clustering problems, in particular
Qinpei Zhao, Mantao Xu, Pasi Fränti
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Wilcoxon-type generalized Bayesian information criterion [PDF]
Biometrika, 2009 We develop a generalized Bayesian information criterion for regression model selection. The new criterion relaxes the usually strong distributional assumption associated with Schwarz's bic by adopting a Wilcoxon-type dispersion function and appropriately adjusting the penalty term.
Lan Wang
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An unsupervised audio segmentation method using Bayesian information criterion
2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP), 2014 Audio segmentation is a well-known problem which can be considered from various angles. In the context of this paper, audio segmentation problem is to extract small "homogeneous" pieces of audio in which the content does not change in terms of the present audio events.
Ezgi Can Ozan +3 more
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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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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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A PAC-Bayesian Perspective on the Interpolating Information Criterion
CoRR, 2023 9 ...
Liam Hodgkinson +4 more
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Investigation of the widely applicable Bayesian information criterion [PDF]
Statistics and Computing, 2016 To appear in Statistics and ...
Nial Friel +3 more
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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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