Arrival-Time Detection in Wind-Speed Measurement: Wavelet Transform and Bayesian Information Criteria [PDF]
Sensors, 2020 The time-difference method is a common one for measuring wind speed ultrasonically, and its core is the precise arrival-time determination of the ultrasonic echo signal.
Wei Zhang +4 more
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Performance of criteria for selecting evolutionary models in phylogenetics: a comprehensive study based on simulated datasets [PDF]
BMC Evolutionary Biology, 2010 Background Explicit evolutionary models are required in maximum-likelihood and Bayesian inference, the two methods that are overwhelmingly used in phylogenetic studies of DNA sequence data.
Luo Arong +7 more
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Extended Bayesian Information Criteria for Gaussian Graphical Models [PDF]
, 2010 Gaussian graphical models with sparsity in the inverse covariance matrix are of significant interest in many modern applications. For the problem of recovering the graphical structure, information criteria provide useful optimization objectives for ...
Drton, Mathias, Foygel, Rina
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Understanding predictive information criteria for Bayesian models [PDF]
Statistics and Computing, 2013 We review the Akaike, deviance, and Watanabe-Akaike information criteria from a Bayesian perspective, where the goal is to estimate expected out-of-sample-prediction error using a biascorrected adjustment of within-sample error. We focus on the choices involved in setting up these measures, and we compare them in three simple examples, one theoretical ...
Gelman, Andrew +2 more
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BIC and Alternative Bayesian Information Criteria in the Selection of Structural Equation Models [PDF]
Structural Equation Modeling: A Multidisciplinary Journal, 2014 Selecting between competing Structural Equation Models (SEMs) is a common problem. Often selection is based on the chi square test statistic or other fit indices. In other areas of statistical research Bayesian information criteria are commonly used, but they are less frequently used with SEMs compared to other fit indices.
Kenneth A, Bollen +3 more
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High-dimensional Ising model selection with Bayesian information criteria
Electronic Journal of Statistics, 2015 We consider the use of Bayesian information criteria for selection of the graph underlying an Ising model. In an Ising model, the full conditional distributions of each variable form logistic regression models, and variable selection techniques for regression allow one to identify the neighborhood of each node and, thus, the entire graph. We prove high-
Barber, Rina Foygel, Drton, Mathias
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Model Selection Criteria for Segmented Time Series from a Bayesian Approach to Information Compression [PDF]
, 2002 The principle that the simplest model capable of describing observed phenomena should also correspond to the best description has long been a guiding rule of inference. In this paper a Bayesian approach to formally implementing this principle is employed
Brian Hanlon, Catherine Forbes
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Context-Dependent Score Based Bayesian Information Criteria [PDF]
Bayesian Analysis, 2016 In a number of applications, we argue that standard Bayes factor model comparison and selection may be inappropriate for decision making under specific, utility-based, criteria. It has been suggested that the use of scoring rules in this context allows greater exibility: scores can be customised to a client's utility and model selection can proceed on ...
Underhill, N. T., Smith, J. Q.
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A bootstrap approach to evaluating the performance of Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) in selection of an asymmetric price relationship [PDF]
Journal of Agricultural Sciences (Belgrade), 2012 This study addresses the problem of model selection in asymmetric price transmission models by combining the use of bootstrap methods with information theoretic selection criteria.
Acquah Henry de-Graft
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PLoS Computational Biology, 2021 Individualized anatomical information has been used as prior knowledge in Bayesian inference paradigms of whole-brain network models. However, the actual sensitivity to such personalized information in priors is still unknown. In this study, we introduce
Meysam Hashemi +9 more
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