Results 21 to 30 of about 115,501 (297)
Modeling crude oil price volatility in Nigeria: using GARCH (1,1), EGARCH (1,1), and GJR-GARCH (1,1) models [PDF]
مجلة العلوم التجارية والبيئيةThis study investigates the performance of various GARCH models for volatility forecasting, focusing on the GARCH (1,1), EGARCH (1,1), and GJR-GARCH (1,1) frameworks, each tested with normal and Student’s t-distributions.
Frederick A. Omoruyi +2 more
doaj +1 more source
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
doaj +1 more source
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.
doaj +1 more source
, 2023 Bayesian information criterion (BIC) and Akaike information criterion (AIC) for selection of models (Step 1).
Mathieu Pelletier-Dumas (14025315) +8 more
core +1 more source
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
doaj +1 more source
, 2023 Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information Criterion (BIC).
Milly Marston (181179) +5 more
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
Posterior Averaging Information Criterion
, 2023 We propose a new model selection method, named the posterior averaging information criterion, for Bayesian model assessment to minimize the risk of predicting independent future observations.
Shouhao Zhou
core +1 more source
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
doaj +1 more source