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Focused information criterion

Known as: Focussed information criterion, Information criterion 
In statistics, the focused information criterion (FIC) is a method for selecting the most appropriate model among a set of competitors for a given… 
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Related topics

Related topics

9 relations
Akaike information criterionBayesian information criterionDeviance information criterionGeneralized linear model

Broader (1)

Model selection

Papers overview

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2020
2020
FOCUSED INFORMATION CRITERION BASED PARTITIONED ITERATIVE X-MEANS DICE CORRELATION CLUSTERING FOR BIG GEO-SOCIAL DATA
Geo-social data is location-based social media data which is generated by people on social network (i.e. face book, twitter etc… 
2017
2017
On the minimum coverage probability of model averaged tail area confidence intervals
Frequentist model averaging has been proposed as a method for incorporating “model uncertainty” into confidence interval… 
2016
2016
Frequentist Model Averaging and Applications to Bernoulli Trials
In several instances of statistical practice, it is not uncommon to use the same data for both model selection and inference… 
2014
2014
Model Averaging in Predictive Regressions
This paper considers forecast combination in a predictive regression. We construct the point forecast by combining predictions… 
2013
2013
Factorized Asymptotic Bayesian Inference for Latent Feature Models
This paper extends factorized asymptotic Bayesian (FAB) inference for latent feature models (LFMs). FAB inference has not been… 
2009
2009
Theoretical Analysis and Comparison of Several Criteria on Linear Model Dimension Reduction
Detecting the dimension of the latent subspace of a linear model, such as Factor Analysis, is a well-known model selection… 
Review
2009
Review
2009
Model Selection in Estimation of Fitness Landscapes
A solution to the problem of estimating fitness landscapes was proposed by Lande and Arnold (1983). Another solution, which… 
2008
2008
Focused Information Criterion for Capture–Recapture Models for Closed Populations
Abstract.  We propose a criterion for selecting a capture–recapture model for closed populations, which follows the basic idea of… 
2008
2008
Focused Information Criteria for the Linear Hazard Regression Model
The linear hazard regression model developed by Aalen is becoming an increasingly popular alternative to the Cox multiplicative… 
1993
1993
3D parts decomposition from sparse range data using information criterion
A method which produces a 3-D structural description from contour data or sparse range data by using superquadrics is proposed… 
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