Comparing hierarchical models via the marginalized deviance information criterion.
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DOI: 10.1002/sim.7649
Abstract: Hierarchical models are extensively used in pharmacokinetics and longitudinal studies. When the estimation is performed from a Bayesian approach, model comparison is often based on the deviance information criterion (DIC). In hierarchical models with latent… read more here.
Keywords: hierarchical models; information criterion; deviance information; criterion ... See more keywords
Deviance information criterion for latent variable models and misspecified models
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DOI: 10.1016/j.jeconom.2019.11.002
Abstract: Deviance information criterion (DIC) has been widely used for Bayesian model comparison, especially after Markov chain Monte Carlo (MCMC) is used to estimate candidate models. This paper first studies the problem of using DIC to… read more here.
Keywords: misspecified models; variable models; deviance information; information criterion ... See more keywords
Generalized information criterion for the AR model
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DOI: 10.1016/j.jkss.2016.12.002
Abstract: Abstract This paper studies the generalized information criterion (GIC) for the problem of subset selection in the autoregressive (AR) model under the condition that some of the parameters are irrelevant to the AR model. We… read more here.
Keywords: model; criterion model; generalized information; information criterion ... See more keywords
A stress test to evaluate the usefulness of Akaike information criterion in short-term earthquake prediction
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DOI: 10.1038/s41598-020-77834-0
Abstract: Akaike information criterion (AIC) has been recently adopted to identify possible earthquake precursors in ionospheric total electron content (TEC). According to the authors of this methodology, their technique allows finding abrupt increases (positive breaks) in… read more here.
Keywords: akaike information; aic method; information criterion; earthquake ... See more keywords
Model selection for factor analysis: Some new criteria and performance comparisons
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DOI: 10.1080/07474938.2017.1382763
Abstract: ABSTRACT This paper derives Akaike information criterion (AIC), corrected AIC, the Bayesian information criterion (BIC) and Hannan and Quinn’s information criterion for approximate factor models assuming a large number of cross-sectional observations and studies the… read more here.
Keywords: factor; model selection; criterion; information criterion ... See more keywords
Statistical models for estimating lamb birth weight using body measurements
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DOI: 10.1080/1828051x.2021.1937720
Abstract: Abstract 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.… read more here.
Keywords: body; birth; statistical models; birth weight ... See more keywords
Asymptotic post‐selection inference for the Akaike information criterion
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DOI: 10.1093/biomet/asy018
Abstract: Summary Ignoring the model selection step in inference after selection is harmful. In this paper we study the asymptotic distribution of estimators after model selection using the Akaike information criterion. First, we consider the classical… read more here.
Keywords: akaike information; selection; model; post selection ... See more keywords
Getting the model right: an information criterion for spectroscopy
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DOI: 10.1093/mnras/staa3551
Abstract: Robust model-fitting to spectroscopic transitions is a requirement across many fields of science. The corrected Akaike and Bayesian information criteria (AICc and BIC) are most frequently used to select the optimal number of fitting parameters.… read more here.
Keywords: spectroscopy; model right; getting model; information criterion ... See more keywords
Selecting velocity models using Bayesian Information Criterion
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DOI: 10.1111/1365-2478.13153
Abstract: We present a strategy for selecting the values of elasticity parameters by comparing walkaway vertical seismic profiling data with a multilayered model in the context of Bayesian Information Criterion. We consider P -wave traveltimes and… read more here.
Keywords: bayesian information; selecting velocity; information criterion;
Cost-effectiveness of community diabetes screening: Application of Akaike information criterion in rural communities of Nigeria
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DOI: 10.3389/fpubh.2022.932631
Abstract: Background The prevalence of diabetes mellitus (DM) is increasing globally, and this requires several approaches to screening. There are reports of alternative indices for prediction of DM, besides fasting blood glucose (FBG) level. This study,… read more here.
Keywords: health economics; economics; cost; akaike information ... See more keywords
An Information Criterion for Auxiliary Variable Selection in Incomplete Data Analysis
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DOI: 10.3390/e21030281
Abstract: Statistical inference is considered for variables of interest, called primary variables, when auxiliary variables are observed along with the primary variables. We consider the setting of incomplete data analysis, where some primary variables are not… read more here.
Keywords: auxiliary variables; incomplete data; information criterion; primary variables ... See more keywords