Akaike's Information Criterion and Recent Developments in Information Complexity.

By Hamparsum Bozdogan. Journal of Mathematical Psychology, 2000

753 citations recorded by the source corpus.

Subfields: Statistical and Nonlinear Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c54c43eb678e017883eedc261e499f56bda7a4ff

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Citations in the corpus

An Inverse Problem Statistical Methodology Summary (2009, methodology): “Also, we observe that sx0 and sr are nearly zero in [15,25], which suggests that we will be unable to estimate x0 or r using observations in that region.”
Predictive quantification of surrogate model fidelity based on modal variations with sample density (2015, methodology): “…by AIC = −2 log L(θ̂) + 2k (1) In this equation, L(θ̂) is the maximized likelihood function, and k is the number of free parameters in the model, which is a measure of complexity or the compensation for the bias in the lack of fit when the maximum likelihood estimators are used (Bozdogan 2000).”
One mixed negative binomial distribution with application (2011, background): “And estimated parameters, AIC ( 2logLðŷÞþ2k, where LðŷÞ is the maximized likelihood function, and k is the number of free parameters in the model. see Bozdogan, 2000), w2- statistic as well as p-value of the w2 goodness-of-fit test are summarized in Table 1.”
The Information Criterion (2014, neutral): “(Akaike, 1973).”
Application of linear stochastic models for drought forecasting in the Büyük Menderes river basin, western Turkey (2010, background): “where m = (p ? q ? P ? Q) is the number of terms estimated in the model and RSS denotes the sum of squared residuals (Bozdogan 2000).”
Model Selection in the Presence of Incidental Parameters (2015, neutral): “The additional penalty depends on a proper model complexity measure (e.g., Rissanen, 1986; Bozdogan, 2000; Hodges and Sargent, 2001) that reflects the level of difficulty of estimation.”
Measuring empathic tendencies : reliability and validity of the Dutch version of the interpersonal reactivity index (2007, methodology): “We used Akaike’s (1973) Information Criterion (AIC) to evaluate the competing models: the model with the lowest AIC is preferred (Bozdogan, 2000).”
Schwarz, Wallace, and Rissanen: Intertwining Themes in Theories of Model Selection (2001, background): “…rich body of work relating to Akaike’s methods (Akaike, 1974; Stone, 1977; Taylor, 1987; Sakamoto et al., 1986; Sakamoto, 1992; Hurvich et al., 1998; Bozdogan, 2000; Cavanaugh & Shumway, 1998), especially in time series analysis (Akaike, 1979; Atkinson, 1978; Shibata, 1976), we will not consider…”
Additivity of nonlinear biomass equations (2001, background): “A recent. development that may prove to provide better model discrimination is the information complexity (ICOMP) criterion of Bozdogan (2000).”
Estimating a difference of Kullback–Leibler risks using a normalized difference of AIC (2008, neutral): “Other criteria have been proposed such as the BIC (Schwartz, 1978) or approaches based on complexity (Bozdogan, 2000).”
SSL: a theory of how people learn to select strategies. (2006, methodology): “Of the different model selection techniques (Pitt, Myung, & Zhang, 2002), we relied on the Akaike information criterion (AIC) that trades the model’s fit against the model’s complexity (see Akaike, 1973; Bozdogan, 2000; Burnham & Anderson, 1998) when estimating a model’s generalizability (Browne, 20”
Inverse groundwater modeling for hydraulic conductivity estimation using Bayesian model averaging and variance window (2008, methodology): “The K-L distance was also used to derive an information complexity criterion by Bozdogan [2000] .”
Hierarchical classes models for three-way three-mode binary data: interrelations and model selection (2005, methodology): “Finally, to choose among non-nested stochastic models, one often makes use of information theory based criteria like AIC (Akaike, 1973; Bozdogan, 1987, 2000 ), which weigh the likelihood of the data under a specific model against the corresponding effective number of parameters (also called the num”