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Understanding predictive information criteria for Bayesian models
Statistics and computing, 2013We review the Akaike, deviance, and Watanabe-Akaike information criteria from a Bayesian perspective, where the goal is to estimate expected out-of-sample-prediction error using a bias-corrected adjustment of within-sample error.
A. Gelman, Jessica Hwang, Aki Vehtari
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Automated information compression of XPS spectrum using information criteria
, 2020We developed and implemented a fully automated method to perform X-ray photoelectron spectroscopy (XPS) spectral analysis based on the active Shirley method and information criteria.
H. Shinotsuka +5 more
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A note on model selection using information criteria for general linear models estimated using REML
Australian & New Zealand journal of statistics (Print), 2019It is common practice to compare the fit of non‐nested models using the Akaike (AIC) or Bayesian (BIC) information criteria. The basis of these criteria is the log‐likelihood evaluated at the maximum likelihood estimates of the unknown parameters.
A. Verbyla
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Akaike and Bayesian Information Criteria for Hidden Markov Models
IEEE Signal Processing Letters, 2019We propose the Bayesian information criterion (BIC) and the Akaike information criterion (AIC) for model selection in hidden Markov models (HMM) when the number of states is unknown.
Noura Dridi, M. Hadzagic
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IFAC Proceedings Volumes, 1996
Abstract Using an information point of view, we discuss deterministic versus stochastic tools for residual generation and evaluation for FDI in linear state-space systems. Previously proposed statistical isolation methods are revisited, using both a linear transformation formulation and the information content of the corresponding residuals.
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Abstract Using an information point of view, we discuss deterministic versus stochastic tools for residual generation and evaluation for FDI in linear state-space systems. Previously proposed statistical isolation methods are revisited, using both a linear transformation formulation and the information content of the corresponding residuals.
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Informational complexity criteria for regression models
Computational Statistics & Data Analysis, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bozdogan, Hamparsum +1 more
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Generalised information criteria in model selection
Biometrika, 1996zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Konishi, Sadanori, Kitagawa, Genshiro
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Finding the number of latent states in hidden Markov models using information criteria
Environmental and Ecological Statistics, 2023Jodie Buckby +5 more
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