Results 21 to 30 of about 19,416,832 (324)
Normalized Information Criteria and Model Selection in the Presence of Missing Data
Mathematics, 2021 Information criteria such as the Akaike information criterion (AIC) and Bayesian information criterion (BIC) are commonly used for model selection. However, the current theory does not support unconventional data, so naive use of these criteria is not ...
Nitzan Cohen, Y. Berchenko
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Model Selection with Missing Data Embedded in Missing-at-Random Data
Stats, 2023 When models are built with missing data, an information criterion is needed to select the best model among the various candidates. Using a conventional information criterion for missing data may lead to the selection of the wrong model when data are not ...
Keiji Takai, Kenichi Hayashi
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The Copula Information Criteria [PDF]
Scandinavian Journal of Statistics, 2014 ABSTRACTWe derive two types of Akaike information criterion (AIC)‐like model‐selection formulae for the semiparametric pseudo‐maximum likelihood procedure. We first adapt the arguments leading to the original AIC formula, related to empirical estimation of a certain Kullback–Leibler information distance.
Grønneberg, Steffen, Hjort, Nils Lid
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Concordance and value information criteria for optimal treatment decision
Annals of Statistics, 2021 Personalized medicine is a medical procedure that receives considerable scientific and commercial attention. The goal of personalized medicine is to assign the optimal treatment regime for each individual patient, according to his/her personal prognostic
C. Shi, R. Song, Wenbin Lu
semanticscholar +1 more source
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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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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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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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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