Results 21 to 30 of about 2,665,481 (259)
Improving the Performance and Stability of TIC and ICE
Entropy, 2023 Takeuchi’s Information Criterion (TIC) was introduced as a generalization of Akaike’s Information Criterion (AIC) in 1976. Though TIC avoids many of AIC’s strict requirements and assumptions, it is only rarely used.
Tyler Ward
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Frontiers in Genetics, 2022 Accurate inference of gene regulatory networks (GRNs) is important to unravel unknown regulatory mechanisms and processes, which can lead to the identification of treatment targets for genetic diseases.
Deniz Seçilmiş +2 more
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Parameter Selection Criteria for Tomo-SAR Focusing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The synthetic aperture radar (SAR) tomography (TomoSAR) inverse problem is commonly tackled in the context of the direction-of-arrival estimation theory.
Gustavo Daniel Martin-del-Campo-Becerra +3 more
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Focused information criteria for copulas [PDF]
Scandinavian Journal of Statistics, 2019 AbstractIn this paper, we extend the focused information criterion (FIC) to copula models. Copulas are often used for applications where the joint tail behavior of the variables is of particular interest, and selecting a copula that captures this well is then essential.
Vinnie Ko +2 more
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Consistent Model Selection Procedure for Random Coefficient INAR Models
Entropy, 2023 In the realm of time series data analysis, information criteria constructed on the basis of likelihood functions serve as crucial instruments for determining the appropriate lag order. However, the intricate structure of random coefficient integer-valued
Kaizhi Yu, Tielai Tao
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Assessing the Performance of Hierarchical Forecasting Methods on the Retail Sector
Entropy, 2019 Retailers need demand forecasts at different levels of aggregation in order to support a variety of decisions along the supply chain. To ensure aligned decision-making across the hierarchy, it is essential that forecasts at the most disaggregated level ...
José Manuel Oliveira, Patrícia Ramos
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Cumhuriyet Science Journal, 2020 The effect of different sample sizes on estimation methods such as weighted least squares and robust weighted least squares that are used in structural equation modeling was studied and compared using information criteria such as Akaike Information ...
Cengiz Gazeloglu, Zerrin Aşan Greenacre
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An Approach for Determining the Number of Clusters in a Model-Based Cluster Analysis
Entropy, 2017 To determine the number of clusters in the clustering analysis that has a broad range of applied sciences, such as physics, chemistry, biology, engineering, economics etc., many methods have been proposed in the literature.
Serkan Akogul, Murat Erisoglu
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Nonlinear split-plot design modeling and analysis of rice varieties yield
Scientific African, 2023 In this research, a class of nonlinear split plot design models where the mean function of the split-plot model is not linearizable is presented. This was done by fitting intrinsically nonlinear split-plot design (INSPD) models using the Chapman-Richards
I.J. David, O.E. Asiribo, H.G. Dikko
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Robustifying Experimental Tracer Design for13C-Metabolic Flux Analysis
Frontiers in Bioengineering and Biotechnology, 2021 13C metabolic flux analysis (MFA) has become an indispensable tool to measure metabolic reaction rates (fluxes) in living organisms, having an increasingly diverse range of applications.
Martin Beyß +4 more
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