Results 1 to 10 of about 101,306 (131)
Akaike's Information Criterion and Recent Developments in Information Complexity. [PDF]
Journal of Mathematical Psychology, 2000 In this paper we briefly study the basic idea of Akaike's (1973) information criterion (AIC). Then, we present some recent developments on a new entropic or information complexity (ICOMP) criterion of Bozdogan (1988a, 1988b, 1990, 1994d, 1996, 1998a, 1998b) for model selection.
H. Bozdogan
semanticscholar +3 more sources
Akaike's Information Criterion for Stoichiometry Inference of Supramolecular Complexes.
Angewandte Chemie, 2023 "How do we decide the stoichiometry of host-guest complexes?" This question has long been answered by the Job plot since its first report in 1928. However, as the Job plot was claimed to be misleading in 2016, the question became an open question again ...
Koki Ikemoto +3 more
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Austrian Journal of Statistics, 2016 The most commonly used model selection criterion, Akaike’s Information Criterion (AIC), cannot be used when the Generalized Estimating Equations (GEE) approach is considered for analyzing multivariate binary response. Recently, a modified version of AIC (
A.H.M. Mahbub Latif +2 more
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Akaike's information criterion for a measure of linkage disequilibrium [PDF]
Journal of Human Genetics, 2002 The extent and distribution of linkage disequilibrium ( LD) in humans is a current topic especially for gene mapping of complex diseases. Akaike's information criterion ( AIC) was applied to estimate LD and compared with other standard LD measures, D' and r(2).
Kazuki Shimo-onoda +11 more
semanticscholar +3 more sources
ISPRS International Journal of Geo-Information, 2019 It is still a major challenge to select appropriate variables from remote sensing sensors, which implicates finding reliable selection methods that can maximize the performance of chosen variables in regression models.
Rita Libertad Adame-Campos +4 more
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Accuracy of quantum-state estimation utilizing Akaike's information criterion [PDF]
Physical Review A, 2003 We report our theoretical and experimental investigations into errors in quantum-state estimation, putting a special emphasis on their asymptotic behavior.
K. Usami +4 more
semanticscholar +4 more sources
Applicability evaluation of Akaike’s Bayesian information criterion to covariance modeling in the cross-section adjustment method [PDF]
EPJ Web of Conferences, 2023 The applicability of Akaike’s Bayesian Information Criterion (ABIC) to the covariance modeling in the cross-section adjustment method has been investigated.
Maruyama Shuhei +2 more
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Finite Sample Improvement of Akaike’s Information Criterion [PDF]
IEEE Transactions on Information Theory, 2021 We emphasize that it is possible to improve the principle of unbiased risk estimation for model selection by addressing excess risk deviations in the design of penalization procedures. Indeed, we propose a modification of Akaike's Information Criterion that avoids overfitting, even when the sample size is small.
Adrien Saumard, Fabien Navarro
openaire +3 more sources
Modeling the tropical fish community related to land uses and environmental determinants [PDF]
Global Journal of Environmental Science and Management, 2023 BACKGROUND AND OBJECTIVES: Coastal ecosystems worldwide have been threatened by changing land use and environmental determinants. These conditions have impacted important marine resources, including fish diversity. Southeast Asia, one region experiencing
N. Takarina +5 more
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Statistical models for estimating lamb birth weight using body measurements
Italian Journal of Animal Science, 2021 The objective of this study was to estimate lamb birth weight based on body dimensions. We monitored 101 lambs (61 Charollais lambs, 27 Kent lambs, and 13 their crossbreds) at a selected commercial flock.
Anežka Málková +3 more
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